Publication list

Author:
Title:
Year:

2023



• Candy A. Huanca-Anquise and Ana L.C. Bazzan and Anderson R. Tavares, 2023. Multi-Objective, Multi-Armed Bandits: Algorithms for Repeated Games and Application to Route Choice. Revista de Inform�tica Te�rica e Aplicada. [BIB]


• Alegre, Lucas N. and Bazzan, Ana L. C. and Roijers, Diederik M. and Now�, Ann and da Silva, Bruno C., 2023. Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems. 2003-2012. [BIB]


• Lucas N. Alegre and Diederik M. Roijers and Ann Now� and Ana L. C. Bazzan and Bruno C. \relaxda Silva, 2023. Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. [FILE] [BIB]



2022



• Yaroslava Shynkar and Anita Raja and Ana L.C. Bazzan and Marin Marinov, 2022. Multiagent Meta-level Control for Adaptive Traffic Systems: A Case Study. Transportation Research Procedia. vol.62. 236-244. [FILE] [BIB]


• Lucas N. Alegre and Florian Felten and El-Ghazali Talbi and Gr�goire Danoy and Ann Now� and Ana L. C. Bazzan and Bruno C. \relaxda Silva, 2022. MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments. Proceedings of the 34th Benelux Conference on Artificial Intelligence BNAIC/Benelearn 2022. [BIB]


• Lincoln V. Schreiber and Lucas N. Alegre and Ana L. C. Bazzan and Gabriel de O. Ramos, 2022. On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control. Proceedings of the 2022 International Joint Conference on Neural Networks. [FILE] [BIB]


• Santos, Guilherme Dytz \relax dos and Bazzan, A. L. C., 2022. A Multiobjective Reinforcement Learning Approach to Trip Building. Proc. of the 12th International Workshop on Agents in Traffic and Transportation (ATT 2022). vol.3173. 160-174. [FILE] [BIB]


• Almeida, Vicente Nejar \relax de, 2022. Multi-Agent Reinforcement Learning via Generalized Policy Improvement. [FILE] [BIB]


• Almeida, Vicente Nejar \relax de an, 2022. Multiagent Reinforcement Learning for Traffic Signal Control: a k-Nearest Neighbors Based Approach. Twelfth International Workshop on Agents in Traffic and Transportation. vol.3173. 32-46. [FILE] [BIB]


• M. V. L. Ribeiro and J. L. A. Samatelo and A. L. C. Bazzan, 2022. A New Microscopic Approach to Traffic Flow Classification Using a Convolutional Neural Network Object Detector and a Multi-Tracker Algorithm. IEEE Transactions on Intelligent Transportation Systems. vol.23. 4. 3797-3801. [BIB]


• Taylor \relax de O. Antes and Ana L.C. Bazzan and Anderson Rocha Tavares, 2022. Information upwards, recommendation downwards: reinforcement learning with hierarchy for traffic signal control. Procedia Computer Science. vol.201. 24-31. [FILE] [BIB]


• Lucas N. Alegre and Ana L. C. Bazzan and Bruno C. da Silva, 2022. Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer. Proceedings of the 39th International Conference on Machine Learning. vol.162. 17--23 Jul. 394-413. [FILE] [BIB]


• Lucas N. Alegre and Theresa Ziemke and Ana L. C. Bazzan, 2022. Using reinforcement learning to control traffic signals in a real-world scenario: an approach based on linear function approximation. IEEE Transactions on Intelligent Transportation Systems. vol.23. 7. 9126-9135. [FILE] [BIB]


• Ana L.C. Bazzan and Henrique Uhlmann Gobbi and Guilherme Dytz dos Santos, 2022. More Knowledge, More Efficiency: Using Non-Local Information on Multiple Traffic Attributes. Proceedings of the KDMiLe 2022. November. [BIB]


• Mohammad Noaeen and Atharva Naik and Liana Goodman and Jared Crebo and Taimoor Abrar and Zahra Shakeri Hossein Abad and Ana L.C. Bazzan and Behrouz Far, 2022. Reinforcement learning in urban network traffic signal control: A systematic literature review. Expert Systems with Applications. 116830. [FILE] [BIB]


• Di Mei and I-An Huang and Anita Raja and Mohammad Rashedul Hasan and Ana L.C. Bazzan, 2022. Traffic optimization using a coordinated route updating mechanism. Journal of Intelligent Transportation Systems. 1-17. [FILE] [BIB]



2021



• Antes, Taylor de Oliveira, 2021. Organiza��o hier�rquica com agrega��o de estados em aprendizado multiagente: uma aplica��o em controle semaf�rico. [FILE] [BIB]


• Ana L.C. Bazzan, 2021. Comparing the Centralities of Core Characters in Three Sitcoms. Revista de Sistemas de Informa��o da FSMA. vol.27. 54-66. [FILE] [BIB]


• Ana L.C. Bazzan, 2021. Contribui�\~oes de aprendizado por refor�o em escolha de rota e controle semaf�rico. Estudos Avan�ados. vol.35. 101. 95-110. [FILE] [BIB]


• Mojtaba Norouzi and Monireh Abdoos and Ana L. C. Bazzan, 2021. Experience classification for transfer learning in traffic signal control. J. Supercomputing. vol.77. 1. 780-795. [BIB]


• Noaeen, Mohammad and Naik, Atharva and Goodman, Liana and Crebo, Jared and Abrar, Taimoor and Far, Behrouz and Abad, Zahra S H and Bazzan, Ana L. C., 2021. Reinforcement Learning in Urban Network Traffic Signal Control: A Systematic Literature Review. [FILE] [BIB]


• Huanca-Anquise, Candy Alexandra, 2021. Multi-objective reinforcement learning methods for action selection: dealing with multiple objectives and non-stationarity. [FILE] [BIB]


• Santos, Guilherme Dytz \relax dos and Ana L. C. Bazzan, 2021. Sharing diverse information gets driver agents to learn faster: an application in en route trip building. PeerJ Computer Science. vol.. March. e428. [FILE] [BIB]


• Santos, Guilherme Dytz \relax dos and Bazzan, A. L. C. and Baumgardt, A. P., 2021. Using Car to Infrastructure Communication to Accelerate Learning in Route Choice. Journal of Information and Data Management. vol.. . [FILE] [BIB]


• F. Kl�gl and A. L. C. Bazzan, 2021. Accelerating route choice learning with experience sharing in a commuting scenario: An agent-based approach. AI Communications. vol.34. 1. 105-119. [FILE] [BIB]


• Theresa Ziemke and Lucas N. Alegre and Ana L. C. Bazzan, 2021. Reinforcement learning vs. rule-based adaptive traffic signal control: A Fourier basis linear function approximation for traffic signal control. AI Communications. 89-103. [FILE] [BIB]


• Jo�o V. B. Labres and Bazzan, Ana L. C. and Abdoos, Monireh, 2021. Improving Traffic Signal Control With Joint-Action Reinforcement Learning. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 01-08. [FILE] [BIB]


• Monireh Abdoos and Ana L.C. Bazzan, 2021. Hierarchical Traffic Signal Optimization Using Reinforcement Learning and Traffic Prediction with Long-Short Term Memory. Expert Systems with Applications. 114580. [BIB]


• Lucas N. Alegre and Ana L. C. Bazzan and Bruno C. \relax da Silva, 2021. Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control. PeerJ Computer Science. vol.7. May. e575. [FILE] [BIB]


• Lucas N. Alegre and Ana L. C. Bazzan and Bruno C. \relax da Silva, 2021. Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). 97-105. [FILE] [BIB]



2020



• Bernardo Trevizan and Jorge Chamby-Diaz and Ana L.C. Bazzan and Mariana Recamonde-Mendoza, 2020. A comparative evaluation of aggregation methods for machine learning over vertically partitioned data. Expert Systems with Applications. vol.152. [BIB]


• Redwan, Camil S. Z. and Bazzan, Ana L. C., 2020. HOW HARD IS FOR AGENTS TO LEARN THE USER EQUILIBRIUM? CHARACTERIZING TRAFFIC NETWORKS BY MEANS OF ENTROPY. Advances in Complex Systems. vol.23. 04. 2050011. [BIB]


• Theresa Ziemke and Lucas N. Alegre and Ana L. C. Bazzan, 2020. A reinforcement learning approach with Fourier basis linear function approximation for traffic signal control. Proc. of the 11th International Workshop on Agents in Traffic and Transportation (ATT 2020). vol.2701. 55-62. [FILE] [BIB]


• Prado, S. D. and Dahmen, S. R. and Bazzan, A. L. C. and MacCarron, M. and Hillner, J., 2020. GENDERED NETWORKS AND COMMUNICABILITY IN MEDIEVAL HISTORICAL NARRATIVES. Advances in Complex Systems. vol.23. 03. 2050006. [BIB]


• Sandra D. Prado and Silvio R. Dahmen and Ana L. C. Bazzan and M. MacCarron and J. Hillner, 2020. Gendered Networks and Communicability in Medieval Historical Narratives. [FILE] [BIB]


• Fernando dos Santos and Ingrid Nunes and Ana L. C. Bazzan, 2020. Quantitatively assessing the benefits of model-driven development in agent-based modeling and simulation. Simul. Model. Pract. Theory. vol.104. 102126. [BIB]


• Santos, Guilherme Dytz \relax dos and Ana L. C. Bazzan, 2020. Accelerating Learning of Route Choices With C2I: A Preliminary Investigation. Proc. of the VIII Symposium on Knowledge Discovery, Mining and Learning. 41-48. [BIB]


• Eduardo C. Paim and Ana L. C. Bazzan and Camelia Chira, 2020. Detecting Communities in Networks: a Decentralized Approach Based on Multiagent Reinforcement Learning. 2020 IEEE Symposium Series on Computational Intelligence (SSCI). 2225-2232. [BIB]


• Chamby-Diaz, Jorge C. and Estevam, Rhuam Sena and Bazzan, Ana L. C., 2020. Identifying traffic conditions from non-traffic related sources. Journal of Intelligent Transportation Systems. 1-16. [BIB]


• João Schapke and Ana L. C. Bazzan, 2020. Inducing selfish agents towards social efficient solutions. Anais do VIII Symposium on Knowledge Discovery, Mining and Learning. 9-16. [FILE] [BIB]


• Ramos, Gabriel de O. and Da Silva, Bruno C. and R\vadulescu, Roxana and Bazzan, Ana L. C. and Now�, Ann, 2020. Toll-based reinforcement learning for efficient equilibria in route choice. The Knowledge Engineering Review. vol.35. E8. [BIB]


• Redwan, Camil S. Z., 2020. Caracteriza��o de redes de transporte por meio de uma m�trica de entropia. Julho. [BIB]


• Lucas N. Alegre and Ana L. C. Bazzan and Bruno C. \relax da Silva, 2020. Quantifying the Impact of Non-Stationarity in Reinforcement Learning-Based Traffic Signal Control. [FILE] [BIB]


• A. L. C. Bazzan and F. Kl�gl, 2020. Experience Sharing in a Traffic Scenario. Proc. of the 11th Int. Workshop on Agents in Traffic and Transportation. vol.2701. 71-78. [FILE] [BIB]


• Ana L.C. Bazzan, 2020. Similar Yet Different: the Structure of Social Networks of Characters in \textitSeinfeld, \textitFriends, \textitHow I met Your Mother, and \textitThe Big Bang Theory. RITA -- Revista de Inform�tica Te�rica e Aplicada. vol.27. 4. 66-80. [FILE] [BIB]


• Ana L. C. Bazzan, 2020. I will be there for you: clique, character centrality, and community detection in \textitFriends. Computational and Applied Mathematics. vol.39. 9. [BIB]



2019



• Vadim Levit and Zohar Komarovsky and Tal Grinshpoun and Ana L. C. Bazzan and Amnon Meisels, 2019. Incentive-based search for equilibria in Boolean games. Constraints. vol.24. 3-4. 288-319. [FILE] [BIB]


• Lucas N. Alegre, 2019. SUMO-RL. GitHub repository. [BIB]


• Estevam, Rhuam Sena and Chamby-Diaz, Jorge C. and Bazzan, Ana L. C., 2019. O que � relevante na predi��o das condi�\~oes do tr�fego a partir de dados de Twitter e outras fontes heterog�neas? Um estudo preliminar sobre a cidade de Porto Alegre. Anais do XXXIII Congresso de Pequisa e Ensino em Transportes (ANPET 2019). [BIB]


• Ana L. C. Bazzan, 2019. Aligning individual and collective welfare in complex socio-technical systems by combining metaheuristics and reinforcement learning. Eng. Appl. of AI. vol.79. 23-33. [FILE] [BIB]


• Lemos, Liza Lunardi and Bazzan, Ana L. C., 2019. Combining adaptation at supply and demand levels in microscopic simulation: a multiagent learning approach. Transportation Research Procedia. vol.37. 465-472. [FILE] [BIB]


• A.L.C. Bazzan and J.C. Chamby-Diaz and R.S. Estevam and L. de A. Schmidt and M. Pasin and J.L.A. Samatelo and M.V.L. Ribeiro, 2019. Using Information from Heterogeneous Sources and Machine Learning in Intelligent Transportation Systems. IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP). Sept.. 213-220. [BIB]


• Mohammad Rashedul Hasan and Anita Raja and Ana L. C. Bazzan, 2019. A context-aware convention formation framework for large-scale networks. Autonomous Agents and Multi-Agent Systems. vol.33. 1-2. 1-34. [BIB]


• Chamby-Diaz, Jorge C. and Bazzan, Ana L. C., 2019. Identifying traffic event types from Twitter by multi-label classification. 2019 8th Brazilian Conference on Intelligent Systems (BRACIS). Oct. 806-811. [BIB]


• Chamby-Diaz, Jorge C. and Recamonde-Mendoza, Mariana and Bazzan, Ana L. C., 2019. Dynamic correlation-based feature selection for feature drifts in data streams. 8th Brazilian Conference on Intelligent Systems (BRACIS). Oct. 198-203. [BIB]


• Maria Am�lia Lopes Silva and S�rgio Ricardo de Souza and Marcone Jamilson Freitas Souza and Ana L�cia C. Bazzan, 2019. A reinforcement learning-based multi-agent framework applied for solving routing and scheduling problems. Expert Syst. Appl.. vol.131. 148-171. [FILE] [BIB]



2018



• Chamby-Diaz, Jorge Cristhian, 2018. An incremental Gaussian mixture network for data stream classification in non-stationary environments. Jan. [FILE] [BIB]


• Thiago B. F. de Oliveira and Ana L. C. Bazzan and Bruno C. da Silva and Ricardo Grunitzki, 2018. Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice. 2018 International Joint Conference on Neural Networks, IJCNN. 1-8. [FILE] [BIB]


• Ana L. C. Bazzan, 2018. Accelerating the Computation of Solutions in Resource Allocation Problems Using an Evolutionary Approach and Multiagent Reinforcement Learning. Applications of Evolutionary Computation (EvoApplications 2018). vol.10784. April. 185-201. [BIB]


• Ramos, Gabriel \relax de Oliveira, 2018. Regret Minimisation and System-Efficiency in Route Choice. Mar. [FILE] [BIB]


• Ramos, Gabriel \relax de O. and Bazzan, Ana L. C. and \relax da Silva, Bruno C., 2018. Analysing the impact of travel information for minimising the regret of route choice. Transportation Research Part C: Emerging Technologies. vol.88. Mar. 257-271. [FILE] [BIB]


• Ramos, Gabriel \relax de O. and \relax da Silva, Bruno C. and R\uadulescu, Roxana and Bazzan, Ana L. C., 2018. Learning System-Efficient Equilibria in Route Choice Using Tolls. Proceedings of the Adaptive Learning Agents Workshop 2018 (ALA-18). Jul. [FILE] [BIB]


• Bazzan, A.~L.~C., 2018. I will be there for you: six friends in a clique. April. [FILE] [BIB]


• Chamby-Diaz, Jorge C. and Recamonde-Mendoza, Mariana and Bazzan, Ana L. C. and Grunitzki, Ricardo, 2018. Adaptive incremental Gaussian mixture network for non-stationary data stream classification. Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN). Jul. [BIB]


• Ramos, Gabriel \relax de O. and Burguillo, Juan C. and Bazzan, Ana L. C., 2018. Self-organizing Coalitions for Managing Complexity. 207-263. [FILE] [BIB]


• Lemos, Liza Lunardi, 2018. Co-aprendizado entre motoristas e controladores semaf�ricos em simula��o microsc�pica de tr�nsito. [FILE] [BIB]


• Liza Lunardi Lemos and Ana L. C. Bazzan and Marcia Pasin, 2018. Co-Adaptive Reinforcement Learning in Microscopic Traffic Systems. 2018 IEEE Congress on Evolutionary Computation, CEC 2018, Ri. 1-8. [BIB]


• Grunitzki, Ricardo, 2018. A flexible approach for optimal rewards in multi-agent reinforcement learning problems. [FILE] [BIB]


• Janaina Schwarzrock and Iulisloi Zacarias and Ana L. C. Bazzan and Ricardo Queiroz de Araujo Fernandes and Leonardo Henrique Moreira and Edison Pignaton de Freitas, 2018. Solving task allocation problem in multi Unmanned Aerial Vehicle. Eng. Appl. of AI. vol.72. 10-20. [BIB]


• Grunitzki, Ricardo and \relax da Silva, Bruno C. and Bazzan, Ana L. C., 2018. Towards Designing Optimal Reward Functions in Multi-Agent Reinforcement Learning Problems. Proc. of the 2018 International Joint Conference on Neural Networks (IJCNN 2018). Jul. [FILE] [BIB]


• Yanhai Xiong and Jiarui Gan and Bo An and Chunyan Miao and Ana L. C. Bazzan, 2018. Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework. IEEE Trans. Intelligent Transportation Systems. vol.19. 8. 2493-2504. [FILE] [BIB]


• Santos, Fernando and Nunes, Ingrid and Bazzan, Ana L. C., 2018. Model-driven Agent-based Simulation Development: a Modeling Language and Empirical Evaluation in the Adaptive Traffic Signal Control Domain. Simulation Modelling Practice and Theory. vol.83. April. 162-187. [FILE] [BIB]



2017



• Ana L. C. Bazzan, 2017. Synergies Between Evolutionary Computation and Multiagent Reinforcement Learning: the Benefits of Exchanging Solutions. GECCO '17 Companion. July. 201-202. [BIB]


• Oliveira, Thiago B. F., 2017. Applying Bandit Algorithms to the Route Choice Problem. [FILE] [BIB]


• Andrew Koster and Ana L. C. Bazzan and Marcelo de Souza, 2017. Liar liar, pants on fire; or how to use subjective logic and argumentation to evaluate information from untrustworthy sources. Artif. Intell. Rev.. vol.48. 2. 219-235. [BIB]


• Lemos, Liza Lunardi and Bazzan, Ana L. C. and Ramos, Gabriel \relax de O., 2017. Avalia\cc�o do desempenho do aprendizado por refor\cco em simula\cc�o microsc�pica de tr�fego. Anais do XI Workshop-Escola de Sistemas de Agentes, seus Ambientes e apliCa�\~oes (WESAAC 2017). May. 11-22. [FILE] [BIB]


• Grunitzki, Ricardo and Bazzan, Ana L. C., 2017. Comparing Two Multiagent Reinforcement Learning Approaches for the Traffic Assignment Problem. Intelligent Systems (BRACIS), 2017 Brazilian Conference on. Oct. [FILE] [BIB]


• Alves, Matheus, 2017. Social training: aprendizado semi supervisionado utilizando fun�\~oes de escolha social. [FILE] [BIB]


• Alves, Matheus and Bazzan, Ana L. C. and Recamonde-Mendoza, Mariana, 2017. Social-Training: ensemble learning with voting aggregation for semi-supervised classification tasks. BRACIS 2017. October. 7-12. [BIB]


• Fernando Santos and Ingrid Nunes, 2017. Uma An�lise Quantitativa do Esfor�o de Desenvolvimento em Plataformas de Simula�\~oes baseadas em Agentes. Anais do XI Workshop-Escola de Sistemas de Agentes, seus Ambientes e apliCa�\~oes (WESAAC 2017). May. 125-136. [FILE] [BIB]


• Santos, Fernando and Nunes, Ingrid and Bazzan, Ana L. C., 2017. A Case Study of the Development of an Agent-based Simulation in the Traffic Signal Control Domain using an MDD Approach. Proceedings of the 5th International Workshop on Engineering Multi-Agent Systems (EMAS 2017). May. 97-112. [BIB]


• Dahmen, Silvio R. and Bazzan, A.L.C. and Gramsch, Robert, 2017. Community Detection in the Network of German Princes in 1225. Complex Networks VIII: Proceedings of the 8th Conference on Complex Networks (CompleNet 2017). March. 193-200. [BIB]


• Santos, Fernando and Nunes, Ingrid and Bazzan, Ana, 2017. Supporting the Development of Agent-based Simulations: a DSL for Environment Modeling. Proceedings of the IEEE Computer Software and Applications Conference (COMPSAC 2017). July. 170-179. [BIB]


• Grunitzki, Ricardo and \relax da Silva, Bruno C. and Bazzan, Ana L. C., 2017. A flexible approach for designing optimal reward functions. Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017). May. 1559-1560. [FILE] [BIB]


• Ramos, Gabriel \relax de O. and Lemos, Liza Lunardi and Bazzan, Ana L. C., 2017. Developing a Python Reinforcement Learning Library for Traffic Simulation. Proceedings of the Adaptive Learning Agents Workshop 2017 (ALA2017). may. [FILE] [BIB]


• Oliveira, Thiago B. F. and Silva, Bruno C. \relax da and Stefanello F. and Zachow, Arthur and Bazzan, Ana L. C., 2017. Extending a Coupling Metric for Characterization of Traffic Networks: an Application to the Route Choice Problem. Proc. of the 11th Workshop-School on Agents, Enviroments, and Applications (WESAAC 2017). May. [BIB]


• Ramos, Gabriel \relax de O., 2017. Minimising Regret in Route Choice (Doctoral Consortium). Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017). May. 1855-1856. [FILE] [BIB]


• Ramos, Gabriel \relax de O. and \relax da Silva, Bruno C. and Bazzan, Ana L. C., 2017. Learning to Minimise Regret in Route Choice. Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017). May. 846-855. [FILE] [BIB]


• Deividi Moreira and Fernando Santos and Matheus Barbieri and Ingrid Nunes and Ana L. C. Bazzan, 2017. ABStractme: Modularized Environment Modeling in Agent-based Simulations. Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems. May. 1802-1804. [BIB]


• Santos, Fernando and Nunes, Ingrid and Bazzan, Ana, 2017. Model-Driven Engineering in Agent-based Modeling and Simulation: a Case Study in the Traffic Signal Control Domain. Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017). May. 1725-1727. [BIB]



2016



• Agatz, Niels and Bazzan, Ana L. C. and Kutadinata, Ronny and Mattfeld, Dirk Christian and Sester, Monika and Winter, Stephan and Wolfson, Ouri, 2016. Autonomous Car and Ride Sharing: Flexible Road Trains (Vision Paper). Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. 10:1-10:4. [BIB]


• Souza, Marcelo and Ritt, Marcus and Bazzan, Ana L. C., 2016. A bi-objective method of traffic assignment for electric vehicles. Proc. of the IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). 2319-2324. [FILE] [BIB]


• Ruiz-Padillo, Alejandro and \relax de Oliveira, Thiago B F and Alves, Matheus and Bazzan, Ana L C and Ruiz, Diego P, 2016. Social choice functions: A tool for ranking variables involved in action plans against road noise. Journal of environmental management. vol.178. August. 1-10. [BIB]


• Ana L. C. Bazzan and R. Grunitzki, 2016. A multiagent reinforcement learning approach to en-route trip building. 2016 International Joint Conference on Neural Networks (IJCNN). July. 5288-5295. [BIB]


• Grunitzki, Ricardo and Bazzan, Ana L. C., 2016. Combining Car-to-Infrastructure Communication and Multi-Agent Reinforcement Learning in Route Choice. Proceedings of the Ninth Workshop on Agents in Traffic and Transportation (ATT-2016). vol.1678. July. [FILE] [BIB]


• Stefanello,Fernando and Bazzan, Ana L. C., 2016. Traffic Assignment Problem - Extending Braess Paradox. 24. [FILE] [BIB]


• Stefanello,Fernando and da Silva, Bruno C. and Bazzan, Ana L. C., 2016. Using Topological Statistics to Bias and Accelerate Route Choice: preliminary findings in synthetic and real-world road networks. Proceedings of Ninth International Workshop on Agents in Traffic and Transportation. 10 July. 1-8. [FILE] [BIB]


• Souza, Marcelo and Bazzan, Ana and Ritt, Marcus, 2016. Estimando o impacto dos ve�culos el�tricos no tr�fego urbano. 12o Sal�o Latino-Americano de Ve�culos El�tricos. [BIB]


• Mariana Recamonde-Mendoza and Ana L.C. Bazzan, 2016. Social choice in distributed classification tasks: Dealing with vertically partitioned data. Information Sciences. vol.332. 1. 56-71. [BIB]


• M. R. Hasan and A. L. C. Bazzan and E. Friedman and A. Raja, 2016. A multiagent solution to overcome selfish routing in transportation networks. 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). Nov. 1850-1855. [BIB]


• Prado, Sandra D. and Dahmen, Silvio R. and Bazzan, Ana L.C. and Carron, Padraig Mac and Kenna, Ralph, 2016. Temporal Analysis of Literary Texts. Advances in Complex Systems. vol.19. 03. 1-19. [BIB]


• Ramos, Gabriel \relax de O. and Bazzan, Ana L. C., 2016. Efficient Local Search in Traffic Assignment. 2016 IEEE Congress on Evolutionary Computation (CEC). July. 1493-1500. [BIB]


• Ramos, Gabriel \relax de O. and Bazzan, Ana L. C., 2016. On Estimating Action Regret and Learning From It in Route Choice. Proceedings of the Ninth Workshop on Agents in Traffic and Transportation (ATT-2016). July. 1-8. [FILE] [BIB]


• Mariana Recamonde-Mendoza and Ana L.C. Bazzan, 2016. Social choice in distributed classification tasks: Dealing with vertically partitioned data. Information Sciences. vol.332. 1. 56-71. [BIB]



2015



• Camelia Chira and Ana L. C. Bazzan, 2015. Route assignment using multi-objective evolutionary search. Proceedings of the IEEE Intelligent Computer Communication and Processing (ICCP 2015). September. 141-148. [FILE] [BIB]


• Cagara, Daniel and Scheuermann, Bj�rn and Bazzan, Ana L.C., 2015. Traffic optimization on Islands. 7th IEEE Vehicular Networking Conference (VNC 2015). December. 175-182. [FILE] [BIB]


• Monireh Abdoos and Nasser Mozayani and Ana L. C. Bazzan, 2015. Towards reinforcement learning for holonic multi-agent systems. Intell. Data Anal.. vol.19. 2. 211-232. [BIB]


• Camelia Chira and Ana L. C. Bazzan and Rosaldo J. F. Rossetti, 2015. Multi-Objective Evolutionary Traffic Assignment. Proceedings of the 18th IEEE Annual Conference on Intelligent Transport Systems (ITSC 2015). September. 1177-1182. [FILE] [BIB]


• Mohammad Rashedul Hasan and Anita Raja and Ana L. C. Bazzan, 2015. Fast Convention Formation in Dynamic Networks Using Topological Knowledge. Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence. 2067-2073. [FILE] [BIB]


• Ana L. C. Bazzan and Camelia Chira, 2015. Hybrid Evolutionary and Reinforcement Learning Approach to Accelerate Traffic Assignment (extended abstract). Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015). May. 1723-1724. [FILE] [BIB]


• Yanhai Xiong and Jiarui Gan and Bo An and Chunyan Miao and Ana L. C. Bazzan, 2015. Optimal Electric Vehicle Charging Station Placement. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI. July. 2662-2668. [FILE] [BIB]


• Bazzan, Ana L. C. and Ramos, Gabriel \relax de O., 2015. Forming Coalitions of Electric Vehicles in Constrained Scenarios. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection. vol.524. 237-248. [BIB]


• Ramos, Gabriel \relax de O. and Grunitzki, Ricardo, 2015. An Improved Learning Automata Approach for the Route Choice Problem. Agent Technology for Intelligent Mobile Services and Smart Societies. vol.498. 56-67. [BIB]


• Batista, Rodrigo \relax de Abreu and Ana L. C. Bazzan, 2015. Identification of Central Points in Road Networks using Betweenness Centrality Combined with Traffic Demand. Polibits. vol.52. 85-91. [FILE] [BIB]


• Batista, Rodrigo de Abreu, 2015. Combinando centralidade de intermedia��o e demanda de tr�fego para identifica��o de pontos centrais em redes vi�rias. [FILE] [BIB]


• Ramos, Gabriel \relax de Oliveira and Bazzan, Ana L. C., 2015. Towards the User Equilibrium in Traffic Assignment Using GRASP with Path Relinking. Proceedings of the 2015 on Genetic and Evolutionary Computation Conference. July. 473-480. [BIB]


• Souza, Marcelo, 2015. Um m�todo biobjetivo de aloca��o de tr�fego para ve�culos convencionais e el�tricos. [FILE] [BIB]


• Souza, Marcelo de and Koster, Andrew and Bazzan, Ana L. C., 2015. Technical description of an agent-based model for testing the effect of communication, trust and belief revision methods in a collaborative traffic scenario. [BIB]


• Ramos, Gabriel \relax de O. and Burguillo, Juan C. and Bazzan, Ana L. C., 2015. A self-adapting similarity-based coalition formation approach for plug-in electric vehicles in smart grids. Multiagent and Grid Systems. vol.11. 3. November. 167-187. [FILE] [BIB]



2014



• Ramos, Gabriel \relax de O. and Burguillo, Juan C. and Bazzan, Ana L. C., 2014. Dynamic constrained coalition formation among electric vehicles. Journal of the Brazilian Computer Society. vol.20. 8. March. 1-15. [BIB]


• Ramos, Gabriel \relax de O. and Grunitzki, Ricardo and Bazzan, Ana L. C., 2014. On improving route choice through learning automata. Proceedings of the Fifth International Workshop on Collaborative Agents -- Research \& Development (CARE 2014). 1-12. [FILE] [BIB]


• Grunitzki, Ricardo and Ramos, Gabriel de Oliveira and Bazzan, Ana L. C., 2014. Uma Ferramenta para Aloca��o de Tr�fego e Aprendizagem de Rotas em Redes Vi�rias. Anais do XXVIII Congresso de Pequisa e Ensino em Transportes (ANPET 2014). [FILE] [BIB]


• Grunitzki, Ricardo and Ramos, Gabriel de O. and Bazzan, Ana L. C., 2014. Individual Versus Difference Rewards on Reinforcement Learning for Route Choice. Intelligent Systems (BRACIS), 2014 Brazilian Conference on. Oct. 253-258. [BIB]


• Grunitzki, Ricardo, 2014. Aprendizado por refor�o multiagente: uma avalia��o de diferentes mecanismos de recompensa para o problema de aprendizado de rotas. August. [FILE] [BIB]


• Marcia Pasin and Felipe Silvano Perini and Ana L. C. Bazzan, 2014. Infaestrutura Auton�mica Distribu�da como Suporte para Aplica�\~oes com Demanda El�stica. iSys -- Revista Brasileira de Sistemas de Informa��o. vol.. . 99-135. [FILE] [BIB]


• Jorge L. Aching and Thiago B. F. de Oliveira and Ana L. C. Bazzan, 2014. Traffic information extraction from a blogging platform using knowledge-based approaches and bootstrapping. Computational Intelligence in Vehicles and Transportation Systems (CIVTS), 2014 IEEE Symposium on. 6-13. [FILE] [BIB]


• Abdoos, Monireh and Mozayani, Nasser and Bazzan, Ana L.C., 2014. Hierarchical control of traffic signals using Q-learning with tile coding. Appl. Intell.. vol.40. 2. 201-213. [BIB]


• Koster, Andrew and Koch, Fernando and Bazzan, Ana L.C., 2014. Incentivising Crowdsourced Parking Solutions. Citizen in Sensor Networks. {36-43. [FILE] [BIB]


• Tavares, Anderson Rocha and Bazzan, Ana LC, 2014. An agent-based approach for road pricing: system-level performance and implications for drivers. Journal of the Brazilian Computer Society. vol.20. 1. 15. [FILE] [BIB]


• Pereira, F. C. and Bazzan, A. L. C. and Ben-Akiva, M., 2014. The role of context in transport prediction. IEEE Intelligent Systems Magazine. vol.. . 76-80. [BIB]


• Mendoza, Mariana R., 2014. Exploring ensemble learning techniques to optimize the reverse engineering of gene regulatory networks. March. [FILE] [BIB]


• Daniel Cagara and Ana L. C. Bazzan and Bj�rn Scheuermann, 2014. Getting You Faster to Work: A Genetic Algorithm Approach to the Traffic Assignment Problem. Proceedings of the 16th Annual Conference on Genetic and Evolutionary Computation (companion). July. 105-106. [FILE] [BIB]


• Ana L. C. Bazzan, 2014. Learning-based traffic assignment: how heterogeneity in route choices pays off. Proceedings of the 8th International Workshop on Agents in Traffic and Transportation (ATT-2014). [BIB]


• Ana L. C. Bazzan, 2014. Beyond Reinforcement Learning and Local View in Multiagent Systems. K�nstliche Intelligenz (KI). vol.28. 3. 179-189. [FILE] [BIB]


• Ana L. C. Bazzan and Daniel Cagara and Bj�ern Scheuermann, 2014. An Evolutionary Approach to Traffic Assignment. 2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS). December. 43-50. [BIB]


• Bazzan, Ana L. C. and Kl�gl, Franziska, 2014. A review on agent-based technology for traffic and transportation. The Knowledge Engineering Review. vol.29. . 375-403. [BIB]


• Bazzan, Ana L. C., 2014. Descoberta de Padr\~oes em Sistemas Urbano. 88-99. [BIB]



2013



• Ana L. C. Bazzan, 2013. LabTrans -- Laborat�rio Computacional para Simula��o e Testes de Pol�ticas Relativas \`a Mobilidade em Sistemas Inteligentes de Transportes. Anais do Primeiro Encontro do Fundo Setorial de Pesquisa em Transportes Terrestres e Hidrovi�rios. 324-341. [BIB]


• Bazzan, A.L.C., 2013. Cooperative induction of decision trees. 2013 IEEE Symposium on Intelligent Agents (IA). April. 62-69. [BIB]


• Bazzan, Ana L.C., 2013. Paying the Price of Learning Independently in Route Choice. Progress in Artificial Intelligence. vol.8154. 42-53. [FILE] [BIB]


• Ana L. C. Bazzan, 2013. Comparing Reinforcement Learning and Evolutionary Based Adaptation in Population Games. Advances in Artificial Life, ECAL 2013. 909-916. [FILE] [BIB]


• Cagara, Daniel and Scheuermann, Bj�rn and Bazzan, Ana L. C., 2013. A Methodology to Evaluate the Optimization Potential of Co-ordinated Vehicular Route Choices. 1st GI/ITG KuVS Fachgespr�ch Inter-Vehicle Communication (FG-IVC 2013). February. [FILE] [BIB]


• Cristiano Galafassi and Ana L. C. Bazzan, 2013. Analysis of Traffic Behavior in Regular Grid and Real World Networks. The Fifth International Workshop on Emergent Intelligence on Networked Agents (WEIN). [FILE] [BIB]


• Anderson R. Tavares and Ana L. C. Bazzan, 2013. Networked malicious agents in transportation systems: a simulation study. The Fifth International Workshop on Emergent Intelligence on Networked Agents (WEIN). [FILE] [BIB]


• Monireh Abdoos and Nasser Mozayani and Ana L.C. Bazzan, 2013. Holonic multi-agent system for traffic signals control. Engineering Applications of Artificial Intelligence. vol.26. 5-6. 1575-1587. [BIB]


• Mendoza, Mariana R. and da Fonseca, Guilherme C. and Loss-Morais, Guilherme and Alves, Ronnie and Margis, Rogerio and Bazzan, Ana L. C., 2013. RFMirTarget: Predicting Human MicroRNA Target Genes with a Random Forest Classifier. PLoS ONE. vol.8. 7. 07. e70153. [BIB]


• Mariana Recamonde Mendoza and Ana L. C. Bazzan, 2013. The Wisdom of Crowds in Bioinformatics: What Can We Learn (and Gain. Proceedings of the Twenty-Seventh AAAI Conference on Artificia. 1678-1679. [FILE] [BIB]


• Vadim Levit and Tal Grinshpoun and Amnon Meisels and Ana L. C. Bazzan, 2013. Taxation Search in Boolean Games. Proc. of the 12th Int. Joint Conf. on Autonomous Agents and Multiagent Systems. May. 183-190. [FILE] [BIB]


• Ana L. C. Bazzan and Pedro G. Ara�jo and Cristiano Galafassi and Anderson R. Tavares and Alessandro D. Vecchia and Ant�nio Rodrigo D. de Vit and Glaucio R. Vivian, 2013. Smart Drivers: Simulating the Benefits of Giving Twitter Information about Traffic Status. Proc. of the Brazilian Computing Society (SBC) Conference. July. 249-259. [FILE] [BIB]


• Bazzan, Ana L. C. and Kl�gl, Franziska, 2013. Introduction to Intelligent Systems in Traffic and Transportation. vol.7. 3. 1-137. [BIB]


• Koster, Andrew and Ramos, Gabriel \relax de Oliveira and Bazzan, Ana L. C. and Koch, Fernando, 2013. Towards a Platform for Testing and Developing Privacy-Preserving Data Mining Applications for Smart Grids. Multiagent System Technologies. vol.8076. 292-305. [BIB]


• Ramos, Gabriel \relax de O. and Burguillo, Juan C. and Bazzan, Ana L. C., 2013. Self-Adapting Coalition Formation among Electric Vehicles in Smart Grids. 2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems (SASO). September. 11-20. [BIB]


• Ramos, Gabriel \relax de Oliveira, 2013. Redu��o do espa�o de busca de estruturas de coaliz�o a partir de informa�\~oes sobre o dom�nio: uma aplica��o em smart grids. March. [FILE] [BIB]


• Daniel Epstein and Ana L.C. Bazzan, 2013. The value of less connected agents in Boolean networks. Physica A: Statistical Mechanics and its Applications. vol.392. 21. [BIB]


• Epstein, Daniel and Bazzan, Ana L.C., 2013. Distributed Coalition Structure Generation with Positive and Negative Externalities. Progress in Artificial Intelligence. vol.8154. 408-419. [BIB]


• Daniel Epstein, 2013. Um algoritmo distribu�do para resolu��o do problema de gera��o de estruturas de coaliz�o com presen\c a de externalidades. Junho. [FILE] [BIB]


• Tavares, Anderson Rocha, 2013. Uma abordagem baseada em agentes para simula��o de tarifa��o vi�ria e comunica��o inter-veicular. August. [FILE] [BIB]


• Corr�a, Abel and Vecchia, Alessandro D. and Tavares, Anderson R. and Galafassi, Cristiano and Ramos, Gabriel de O. and Souza, Luiz H. D. and Grunitzki, Ricardo and Bazzan, Ana L. C., 2013. Epicenter Team Description Paper. Anais da XI Competi��o Brasileira de Rob�tica (CBR 2013). October. 1-6. [FILE] [BIB]


• Koster, Andrew and Tettamanzi, Andrea and Bazzan, Ana L. C. and Pereira, C�lia da Costa, 2013. Using Trust and Possibilistic Reasoning to Deal with Untrustworthy Communication in VANETs. Proceedings of the 16th IEEE Annual Conference on Intelligent Transport Systems (IEEE-ITSC). 2355-2360. [FILE] [BIB]


• Koster, A. and Souza, L. H. D. and Bazzan, A. L. C., 2013. Malicious Communication in VANETs - Lessons Learned in Microsimulation of Traffic. Anais do X Encontro Nacional de Intelig�ncia Artificial e Computacional (ENIAC). October. [FILE] [BIB]



2012



• Anderson R. Tavares and Ana L. C. Bazzan, 2012. Reinforcement learning for route choice in an abstract traffic scenario. VI Workshop-Escola de Sistemas de Agentes, seus Ambientes e aplica�\~oes (WESAAC). 141-153. [FILE] [BIB]


• Jaques, Patricia and Pasin, Marcia and Chiwiacowsky, Leonardo D and Bazzan, Ana L. C. and Moraes, Rodrigo and Bastos, Rodrigo, 2012. Provendo informa�\~oes para atores do sistema de transporte p�blico: um passo na dire��o de sistemas inteligentes de transporte. XXVI ANPET - Congresso de Pesquisa e Ensino em Transportes. [FILE] [BIB]


• Anderson R. Tavares and Ana L. C. Bazzan, 2012. A multiagent based road pricing approach for urban traffic management. Third Brazilian Workshop on Social Simulation. 99-105. [FILE] [BIB]


• Kl�gl, Franziska and Bazzan, Ana L. C., 2012. Agent-based modeling and simulation. AI Magazine. vol.33. 3. 29-40. [FILE] [BIB]


• Anderson R. Tavares and Ana L. C. Bazzan, 2012. Independent learners in abstract traffic scenarios. Revista de Inform�tica Te�rica e Aplicada. vol.19. 2. 13-33. [FILE] [BIB]


• Ana L. C. Bazzan, 2012. Orchestrating Multiagent Learning of Penalty Games. Advances in Artificial Intelligence, SBIA 2012. 7589. 142-151. [FILE] [BIB]


• Ana L. C. Bazzan and G. G. Azzi, 2012. An Investigation on the Use of Navigation Devices in Smart Transportation Systems. SBSI Anais do VIII Simp�sio Brasileiro de Sistemas de Informa��o. vol.1. Maio. 156-161. [FILE] [BIB]


• Mariana R. Mendoza and Adriano V. Werhli and Ana L. C. Bazzan, 2012. An epsilon-greedy mutation operator based on prior knowledge for GA convergence and accuracy improvement: an application to networks inference. Proceedings of the 2012 Brazilian Symposium on Neural Networks. October. 67-72. [FILE] [BIB]


• Ana L. C. Bazzan, 2012. Lessons learned from one decade of developing agent-based tools for traffic modeling, simulation, and control: how to make cities smarter. Braz. Symp. on Information Systems (SBSI). May. 67-72. [FILE] [BIB]


• Ana L. C. Bazzan and Vinicius F. Argenta, 2012. Evolving Networks Promotes Cooperation in Public Goods Games. Advances in Complex Systems. vol.15. 5. 1-21. [FILE] [BIB]


• Ana L. C. Bazzan and Amarante, Maicon de Brito \relax do and Francisco Beschoren da Costa, 2012. Management of Demand and Routing in Autonomous Personal Transportation. Journal of Intelligent Transportation Systems. vol.16. 1. 1-11. [BIB]


• Ramos, Gabriel \relax de Oliveira and Bazzan, Ana L. C., 2012. Reduction of Coalition Structure's Search Space based on Domain Information: an Application in Smart Grids. 2012 Third Brazilian Workshop on Social Simulation (BWSS). October. 112-119. [BIB]


• Reinaldo Bianchi and Ana L. C. Bazzan, 2012. Combining Independent and Joint Learning: a Negotiation based Approach. Proceedings of the Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012). June. 1395-1396. [FILE] [BIB]


• Amarante, Maicon de Brito \relax do and Ana L. C. Bazzan, 2012. Um Processo para Avalia��o de Balanceamento de Carga em Redes de Transporte Veicular Utilizando Adapta��o Heur�stica. Anais do VIII Simp�sio Brasileiro de Sistemas de Informa��o. May. 73-78. [FILE] [BIB]


• Mariana R. Mendoza and Guilherme C. da Fonseca and Guilherme Loss-Morais and Ronnie Alves and Rogerio Margis and Ana L. C. Bazzan, 2012. RFMirTarget: a Random Forest Classifier for Human miRNA Target Gene Prediction. Advances in Bioinformatics and Computational Biology. 7409. 97-108. [FILE] [BIB]


• Ana L. C. Bazzan, 2012. Coordinating Many Agents in Stochastic Games. The 2012 International Joint Conference on Neural Networks (IJCNN). June. 1-8. [FILE] [BIB]


• Mariana R. Mendoza and Fabr�cio M. Lopes and Ana L. C. Bazzan, 2012. Reverse Engineering of GRNs: an Evolutionary Approach based on the Tsallis Entropy. Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation. July. 185-192. [FILE] [BIB]


• Ramos, Gabriel \relax de Oliveira and Bazzan, Ana L. C., 2012. Reducing the Search Space of Coalition Structures based on Smart Grids\' Domain Information. Proceedings of 8th Ibero-American Workshop on Multi-Agent Systems (IBERAGENTS 2012). November. 1-11. [FILE] [BIB]


• Mariana R. Mendoza and Ana L. C. Bazzan, 2012. On the Ensemble Prediction of Gene Regulatory Networks: a Comparative Study. Proceedings of the 2012 Brazilian Symposium on Neural Networks. October. 55-60. [FILE] [BIB]


• Ana L. C. Bazzan, 2012. Co-Evolution of the Dynamics in Population Games: the Case of Traffic Flow Assignment. Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation (companion). July. [FILE] [BIB]


• Daniela Scherer dos Santos and Ana L. C. Bazzan, 2012. Distributed clustering for group formation and task allocation in multiagent systems: A swarm intelligence approach. Appl. Soft Comput.. vol.12. 8. 2123-2131. [FILE] [BIB]


• M. Pasin and F. S. Perini and Ana L. C. Bazzan, 2012. Self-management as support to an advanced traveler information system. VIII Simp�sio Brasileiro de Sistemas de Informa��o, (SBSI 2012). [FILE] [BIB]


• Ana L. C. Bazzan, 2012. Replicator Dynamics of an Assignment Game. Proceedings of 8th Ibero-American Workshop on Multi-Agent Systems (IBERAGENTS 2012). November. 41-50. [FILE] [BIB]


• Amarante, Maicon de Brito \relax do, 2012. Uma abordagem baseada em agentes para avalia\cc\~ao do balanceamento de carga em redes veiculares: dois estudos de caso. April. [FILE] [BIB]


• Amarante, Maicon de Brito \relax do and Ana L. C. Bazzan, 2012. Agent-based simulation of mobility in real-world transportation networks: effects of acquiring information and replanning en-route. Proceedings of the 11th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-2012). June. 1351-1352. [FILE] [BIB]


• Daniel Epstein and Ana L. C. Bazzan and Andr� M. Machado, 2012. Break with agents who listen to too many others (at least when making Boolean decisions!). Proceedings of the Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012). 1389-1390. [FILE] [BIB]



2011



• Mariana R. Mendoza and Ana L. C. Bazzan, 2011. A Study on the Effects of Reputation-based Decision on the Dynamics of Public Goods Game with Punishment, Signaling and Gossiping Mechanisms. Anais do XXXI Congresso da Sociedade Brasileira de Computa��o - VIII Encontro Nacional de Intelig�ncia Artificial. July. 500-511. [FILE] [BIB]


• Marcia Pasin and Ana L. C. Bazzan and Felipe Silvano Perini, 2011. Towards a Self-managed Distributed Infrastructure to an Advanced Traveler Information System. AutoSoft 2011. September. [FILE] [BIB]


• Fabiana Lorenzi and Ana L.C. Bazzan and Mara Abel and Francesco Ricci, 2011. Improving recommendations through an assumption-based multiagent approach: An application in the tourism domain. Expert Systems with Applications. vol.. . 14703-14714. [FILE] [BIB]


• Andr� M. Machado and Ana L. C. Bazzan, 2011. Self-Adaptation in a Network of Social Drivers: Using Random Boolean Networks. Proc. of the Workshop on Organic Computing (OC 11). June. 33-40. [FILE] [BIB]


• Mariana R. Mendoza, 2011. A Study on Machine Learning Methods for the Reverse Engineering of Genetic Regulatory Networks. [FILE] [BIB]


• Mariana R. Mendoza and Ana L. C. Bazzan, 2011. Evolving Random Boolean Networks with Genetic Algorithms for Regulatory Networks Reconstruction. Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation. July. 291-298. [FILE] [BIB]


• dos Santos, Fernando and Bazzan, Ana L. C., 2011. Towards efficient multiagent task allocation in the RoboCup Rescue: a biologically-inspired approach. Autonomous Agents and Multi-Agent Systems. vol.22. 465-486. [BIB]


• Abdoos, M. and Mozayani, N. and Bazzan, A.L.C., 2011. Traffic light control in non-stationary environments based on multi agent Q-learning. Proc. of the 14th International IEEE Conference on Intelligent Transportation Systems. 1580-1585. [FILE] [BIB]


• Bazzan, Ana L.C. and Peleteiro, Ana and Burguillo, Juan, 2011. Learning to cooperate in the Iterated Prisoner's Dilemma by means of social attachments. Journal of the Brazilian Computer Society. vol.17. 163-174. [BIB]


• Henrique Vieira Hallmann, 2011. Compara��o entre softwares simuladores de tr�nsito. [FILE] [BIB]


• Heinen, Milton R. and Bazzan, Ana L. C. and Engel, Paulo M., 2011. Dealing with Continuous-State Reinforcement Learning for Intelligent Control of Traffic Signals. Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems (ITSC). October. 890-895. [FILE] [BIB]


• Daniel Epstein and Ana L. C. Bazzan, 2011. Decision making using random Boolean networks in the El Farol Bar Problem. Proc. of the Agent-Based Simulation (ABS / ECMS). June. [FILE] [BIB]


• Bazzan, Ana L.C. and Argenta, V., 2011. Network of collaboration among PC members of Brazilian computer science conferences. Journal of the Brazilian Computer Society. vol.17. 133-139. [BIB]


• Daniel Epstein and Ana L. C. Bazzan, 2011. Dealing with coalition formation in the RoboCup Rescue: an heuristic approach. Proc. of the 3rd International Conference on Agents and Artificial Intelligence. vol.2. Jan.. 717-720. [BIB]


• Ana L. C. Bazzan and Amarante, Maicon de Brito \relax do and Guilherme G. Azzi and Alexander J. Benavides and Luciana S. Buriol and Leonardo Moura and Marcus P. Ritt and Tiago Sommer, 2011. Extending traffic simulation based on cellular automata: from particles to autonomous agents. Proc. of the Agent-Based Simulation (ABS / ECMS 2011). June. 91-97. [FILE] [BIB]



2010



• Ferreira, Jr., Paulo R. and Fernando dos Santos and Ana L. C. Bazzan and Daniel Epstein and Samuel J. Waskow, 2010. Robocup Rescue as Multiagent Task Allocation among Teams: experiments with task interdependencies. aama. vol.20. 3. May. 421-443. [FILE] [BIB]


• Fabiana Lorenzi and Francesco Ricci and Mara Abel and Ana Bazzan, 2010. Assumption-Based Reasoning for Multiagent Case-Based Recommender Systems. Proceedings of the Florida Artificial Intelligence (FLAIRS 2010). May. 342-347. [FILE] [BIB]


• Fabiana Lorenzi, 2010. Uma abordagem multiagente de recomenda��o baseada em suposi�\~oes e confian�a para cen�rios din�micos. [FILE] [BIB]


• Ana Peleteiro and Juan C. Burguillo and Ana L. C. Bazzan, 2010. Enhancing cooperation in the IPD with learning and coalitions. Proc. of the 2nd Brazilian Workshop on Social Simulation. [FILE] [BIB]


• Ferreira, Jr., Paulo R. and Ana L. C. Bazzan, 2010. Action Selection and Sequencing in Multiagent Systems: an Approximate Algorithm based on Swarm Intelligence. Proceedings of the 22th International Conference on Tools with Artificial Intelligence. October. [FILE] [BIB]


• Ana L. C. Bazzan and Denise de Oliveira and Bruno C. da Silva, 2010. Learning in Groups of Traffic Signals. Eng. Applications of Art. Intelligence. vol.. 560-568. [FILE] [BIB]


• Ana L. C. Bazzan and Amarante, Maicon de Brito \relax do and Tiago Sommer and Alexander J. Benavides, 2010. ITSUMO: an Agent-Based Simulator for ITS Applications. Proc. of the 4th Workshop on Artificial Transportation Systems and Simulation. September. [FILE] [BIB]


• Ana L. C. Bazzan and S. R. Dahmen, 2010. Bribe and Punishment: Effects of Signaling, Gossiping, and Bribery in Public Goods Games. Advances in Complex Systems. vol.13. 6. December. 755-771. [FILE] [BIB]


• Ana L�cia C. Bazzan, 2010. Sistemas Multiagentes: Introdu��o e Aplica�\~oes em Simula��o e Controle de Tr�fego e Simula��o de Situa�\~oes de Emerg�ncia. Revista de Sistemas de Informa��o da FSMA. vol.6. 12-41. [FILE] [BIB]


• Ana L. C. Bazzan, 2010. IA Multiagente: Mais Intelig�ncia, Mais Desafios. Atualiza�\~oes em inform�tica 2010. July. 111-159. [FILE] [BIB]


• Waskow, S. J. and Bazzan, Ana L. C., 2010. Improving Space Representation in Multiagent Learning via Tile Coding. Advances in Artificial Intelligence -- SBIA 2010. 6404. October. 153-162. [FILE] [BIB]


• Waskow, Samuel Justo, 2010. Aprendizado por Refor�o Utilizando Tile Coding em Cen�rios Multiagentes. [FILE] [BIB]


• dos Santos, Daniela S. and Ana L. C. Bazzan, 2010. Distributed Clustering for Group Formation and Task Allocation. Proceedings of the Ninth International Conference on Autonomous Agents and Multi-Agent Systems. May. 1429-1430. [FILE] [BIB]



2009



• Oliveira, Denise \relax de and Bazzan, Ana L. C., 2009. Multiagent Learning on Traffic Lights Control: effects of using shared information. Multi-Agent Systems for Traffic and Transportation. 307-321. [BIB]


• Bazzan, Ana L. C. and Nagel, Kai and Kl�gl, Franziska, 2009. Integrating MATSim and ITSUMO for Daily Replanning Under Congestion. Proceedings of the 35th Latin-American Informatics Conference, CLEI. September. [FILE] [BIB]


• Ana L. C. Bazzan and Franziska Kl�gl, 2009. Multi-Agent Systems for Traffic and Transportation. April. 6. [BIB]


• Ferreira, Jr., Paulo R. and Ana L. C. Bazzan, 2009. Distributed Task Scheduling using a Swarm Intelligence Approach. Proceedings of the 7th Brazilian Meeting on Artificial Intelligence. July. 979-988. [FILE] [BIB]


• Bazzan, Ana L. C., 2009. Joint Learning in Stochastic Games: Playing Coordination Games Within Coalitions. Proc. of the Adaptive Learning Agents (ALA 2009). [BIB]


• Oliveira, Denise \relax de, 2009. Aprendizado em Sistemas Multiagente Atrav�s de Coordena��o Oportunista. [FILE] [BIB]


• dos Santos, Daniela Scherer and Bazzan, Ana L. C., 2009. A biologically-inspired distributed clustering algorithm. Proc. of the 2009 IEEE Swarm Intelligence Symposium. 160-167. [FILE] [BIB]


• Waskow, S. J. and Bazzan, Ana L. C., 2009. Reinforcement Learning Methods: Generalizing Joint Tasks. Proceedings of the 35th Latin-American Informatics Conference, CLEI. September. [FILE] [BIB]


• Bazzan, Ana L. C., 2009. Opportunities for Multiagent Systems and Multiagent Reinforcement Learning in Traffic Control. Autonomous Agents and Multiagent Systems . vol.18. 3. June. 342-375. [BIB]


• dos Santos, Daniela Scherer and de Oliveira, Denise and Bazzan, Ana L. C., 2009. A Multiagent, Multiobjective Clustering Algorithm. Data Mining and Multiagent Integration. [FILE] [BIB]


• Fabiana Lorenzi and Ana L. C. Bazzan and Mara Abel, 2009. Multiagent Truth Maintenance Applied to a Tourism Recommender System. In Tourism Informatics: Visual Travel Recommender Systems, Social Communities and User Interface Design. . [BIB]


• Francisco Beschoren da Costa, 2009. Sistema de distribui��o de rotas para ve�culos aut�nomos. [BIB]


• dos Santos, Daniela Scherer, 2009. Bee clustering: um Algoritmo para Agrupamento de Dados Inspirado em Intelig�ncia de Enxames. Abril. [FILE] [BIB]


• C�ssia T. dos Santos and Ana L. C. Bazzan and Ney Lemke, 2009. Automatic Classification of Enzyme Family in Protein Annotation. Proc. of the Brazilian Symposium on Bioinformatics 2009. 5676. 86-96. [BIB]


• dos Santos, Fernando and Bazzan, Ana L. C., 2009. Ant-Based Task Allocation Among Teams. Proceedings of the 8th Int. Joint Conf. on Autonomous Agents and Multiagent Systems. May, 10--15. 1183-1184. [FILE] [BIB]


• dos Santos, Fernando and Bazzan, Ana L. C., 2009. Ant Based Multiagent Algorithm for Task Allocation in Large Scale and Dynamic Scenarios. Proceedings of the 11th Annual Conference on Genetic and Evolutionary Computation (GECCO-09). 73-80. [FILE] [BIB]


• dos Santos, Fernando and Bazzan, Ana L. C., 2009. eXtreme-Ants: Ant Based Algorithm for Task Allocation in Extreme Teams. Proceedings of the Second International Workshop on Optimisation in Multi-Agent Systems. May. 1-8. [FILE] [BIB]


• dos Santos, Daniela Scherer and Bazzan, Ana L. C., 2009. Aplica�\~oes de Agrupamento Distribuido Baseado em Intelig�ncia de Enxames em Sistemas Multiagente. Anais do VII Encontro Nacional de Intelig�ncia Artificial (ENIA). July. 999-1008. [FILE] [BIB]


• dos Santos, Fernando and Bazzan, Ana L. C., 2009. Aloca��o Eficiente de Tarefas em Sistemas Multiagente Din�micos e de Larga Escala. Anais do VII Encontro Nacional de Intelig�ncia Artificial (ENIA). July. 989-998. [BIB]


• Fernando dos Santos, 2009. eXtreme-Ants: Algoritmo Inspirado em Formigas para Aloca��o de Tarefas em Extreme Teams. Maio. [FILE] [BIB]


• dos Santos, D. S. and Bazzan, A. L. C., 2009. Distributed Clustering: an Application on Bioinformatics. Proceedings of the 35th Latin-American Informatics Conference, CLEI. September. [FILE] [BIB]


• Bazzan, Ana L. C., 2009. Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering. Proc. of the Workshop on Agents and Data Mining Interaction. 5680. 3-20. [FILE] [BIB]



2008



• Ferreira, Jr., Paulo R. and Felipe Boffo and Ana L. C. Bazzan, 2008. Using Swarm-GAP for Distributed Task Allocation in Complex Scenarios. Massively Multiagent Systems. 5043. 107-121. [FILE] [BIB]


• Ana L. C. Bazzan and Roberto da Silva and S. R. Dahmen and A. Baraviera, 2008. Emerging Cooperation in a Public Goods Game with Competition. Proc. of the The 23rd Annual ACM Symposium on Applied Computing. March. 8-12. [FILE] [BIB]


• Ferreira, Jr., Paulo R. and Ana L. C. Bazzan, 2008. Applying a Distributed Swarm-Based Algorithm to Solve Instances of the RCPSP. Ant Colony Optimization and Swarm Intelligence (ANTS 2008). 5217. September. 399-400. [FILE] [BIB]


• Ana L. C. Bazzan and S. R. Dahmen and A. Baraviera, 2008. Simulating the Effects of Sanction for the Emergence of Cooperation in a Public Goods Game. Proc. of the 7th International Joint Conference on Autonomous Agents and Multi-Agent Systems. May. 1473-1476. [FILE] [BIB]


• Bazzan, Ana L. C. and Franziska Kl�gl, 2008. Re-Routing Agents in an Abstract Traffic Scenario. Advances in artificial intelligence. 5249. 63-72. [FILE] [BIB]


• Fabiana Lorenzi and Fabio Correa and Ana L. C. Bazzan an, 2008. A Multiagent Recommender System with Task-Based Agen. X Workshop of Agent Mediated Electronic Commerce. [FILE] [BIB]


• Fabiana Lorenzi and Fernando dos Santos and Paulo R. Jr. and Ana L. C. Bazzan, 2008. Optimizing Preferences within Groups: A Case Study on Travel Recommendation. Proceedings of 19th Brazilian Symposium on Artificial Intelligence. 103-112. [FILE] [BIB]


• Robert Junges and Ana L. C. Bazzan, 2008. Evaluating the Performance of DCOP Algorithms in a Real World, Dynamic Problem. Proc. of the 7th Int. Joint Conf. on Aut. Agents and Multiagent Systems. May. 599-606. [FILE] [BIB]


• Ferreira, Jr., Paulo R., 2008. Coordena��o de sistemas multiagente atuando em cen�rios complexos: uma abordagem baseada na divis�o de trabalho dos insetos sociais. Maio. [FILE] [BIB]


• Ana L. C. Bazzan and Denise de Oliveira and Franziska Kl�gl and Kai Nagel, 2008. Adapt or Not to Adapt -- Consequences of Adapting Driver and Traffic Light Agents. Adaptive Agents and Multi-Agent Systems III. vol.4865. 1-14. [FILE] [BIB]



2007



• Ana L. C. Bazzan and Franziska Kl�gl, 2007. Sistemas Inteligentes de Transporte e Tr�fego: uma Abordagem de Tecnologia da Informa��o. Anais das Jornadas de Atualiza��o em Inform�tica. July. [FILE] [BIB]


• Silva, Bruno Castro \relax da, 2007. Aprendizado por Refor�o em Ambientes N�o-Estacion�rios. Maio. [FILE] [BIB]


• Ana L. C. Bazzan and Bruno Castro da Silva, 2007. Distributed Constraint Propagation for Diagnosis of Faults in Physical Processes. Proceedings of the 6th International Joint Conference on Autonomous Agents And Multiagent Systems (AAMAS 2007). May. 774-776. [FILE] [BIB]


• Ana L. C. Bazzan and S. R. Dahmen, 2007. Targeted search in coalition structures. Proceedings of the 5th European Workshop on Multiagent Systems. December. 180-192. [FILE] [BIB]


• Ana L. C. Bazzan and Denise de Oliveira and Franziska Kl�gl and Kai Nagel, 2007. Effects of Co-Evolution in a Complex Traffic Network. Proceedings of the AAMAS 2007 Workshop on Adaptive and Learning Agents (ALAg). May. 28-33. [FILE] [BIB]


• Ana L. C. Bazzan and Franziska Kl�gl and Kai Nagel, 2007. Adaptation in Games with Many Co-evolving Agents. EPIA 2007. vol.4874. 195-206. [FILE] [BIB]


• Ana L. C. Bazzan and Denise de Oliveira and Franziska Kl�gl and Kai Nagel, 2007. Adapt or Not Adapt -- Consequences of Adapting Driver and Traffic Light Agents. Proceedings of the 7th Adaptive Learning Agents and Multi-Agent Systems Symposium (ALAMAS). 1-14. [FILE] [BIB]


• Ana L. C. Bazzan, 2007. Traffic as a Complex System: Four Challenges for Computer Science and Engineering. Proc. of the XXXIV SEMISH. July. 2128-2142. [FILE] [BIB]


• Felipe Boffo and Ferreira, Jr., Paulo R. and Ana L. C. Bazzan, 2007. A Comparison of Algorithms for Task Allocation in RoboCup Rescue. Proceedings of the 5th European Workshop on Multiagent Systems. December. 537-548. [FILE] [BIB]


• Ferreira, Jr., Paulo R. and Felipe Boffo and Ana L. C. Bazzan, 2007. A Self-Organized Algorithm for Distributed Task Allocation in Complex Scenarios. Workshop on Coordination and Control in Massively Multi-Agent Systems (CCMMS). May. 16-30. [BIB]


• Jacques Wainer and Ferreira, Jr., Paulo R. and Everton R. Constantino, 2007. Scheduling Meetings Through Multi-Agent Negotiations. Decision Support Systems. vol.44. 1. 285-297. [BIB]


• Lorenzi, Fabiana and Bazzan, Ana L. C. and Abel, Mara, 2007. Truth Maintenance Task Negotiation in Multiagent Recommender System for Tourism. Proceedings of the AAAI Workshop on Intelligent Techniques for Web Personalization and Recommender Systems in E-Commerce (AAAI 2007). July. 122-125. [BIB]


• Robert Junges and Ana L. C. Bazzan, 2007. Modelling Synchronization of Traffic Lights as a DCOP. Proceedings of the 5th European Workshop on Multiagent Systems. December. 564-579. [FILE] [BIB]


• Junges, Robert, 2007. Compara��o de algoritmos para otimiza��o de restri�\~oes distribu�das em um cen�rio de controle semaf�rico. Novembro. [FILE] [BIB]


• Fabiana Lorenzi, 2007. A multiagent knowledge-based recommender approach with truth maintenance. RecSys07: Proceedings of the 2007 ACM conference on Recommender systems. 195-198. [BIB]


• Ferreira, Jr., Paulo R. and Felipe Boffo and Ana L. C. Bazzan, 2007. A Swarm Based Approximated Algorithm to the Extended Generalized Assignment Problem (E-GAP). Proceedings of the 6th International Joint Conference on Autonomous Agents And Multiagent Systems (AAMAS). May. 1231-1233. [BIB]


• Fabiana Lorenzi and dos Santos, Daniela Scherer and Denise de Oliveira and Ana L. C. Bazzan, 2007. Task allocation in case-based recommender systems: a swarm intelligence approach. Architectural Design of Multi-Agent Systems. 268-279. [BIB]


• Lorenzi, Fabiana and Bazzan, Ana L. C. and Abel, Mara, 2007. Negotiation for task allocation among agents in case-base recommender systems: a swarm-intelligence approach. Proceedings of the Student Abstract - on Twenty-Second AAAI Conference on Artificial Intelligence (AAAI 2007). July. 1886-1887. [BIB]


• Denise \relax de Oliveira, 2007. Towards Joint Learning in Multiagent Systems Through Opportunistic Coordination. November. [FILE] [BIB]


• Oliveira, Denise \relax de and Bazzan, Ana L. C., 2007. Swarm Intelligence Applied to Traffic Lights Group Formation. Anais do VI Encontro Nacional de Intelig�ncia Artificial (ENIA). July. 1003-1112. [FILE] [BIB]



2006



• Silva, R. and Baraviera, A. and Dahmen, S. R. and Bazzan, Ana L. C., 2006. Dynamics of a public investment game: from nearest-neighbor lattices to small-world networks. Advances in Artificial Economics, The Economy as a Complex Dynamic System. 584. 211-233. [BIB]


• Silva, Bruno Castro da and Basso, Eduardo Wisnieski and Bazzan, Ana Lucia Cetertich and Engel, Paulo Martins, 2006. Improving Reinforcement Learning with Context Detection. Proceedings of the 5th International Joint Conference On Autonomous Agents And Multiagent Systems, AAMAS, 2006. May. 811-812. [FILE] [BIB]


• Oliveira, Denise and Bazzan, Ana L. C., 2006. Traffic Lights Control with Adaptive Group Formation Based on Swarm Intelligence. Proceedings of the 5th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2006. September. 520-521. [FILE] [BIB]


• Oliveira, Denise de and Bazzan, Ana L. C., 2006. Emergence of Traffic Lights Synchronization. Proceedings of the 20th European Conference on Modelling and Simulation (ECMS 2006, ABS Track). May. 572-577. [FILE] [BIB]


• Fabiana Lorenzi and Ana L. C. Bazzan and Mara Abel, 2006. An Architecture for a Multiagent Recommender System in Travel Recommendation Scenarios. Proceedings of 3rd Workshop on Model-Based Systems (ECAI 2006). August. 88-91. [FILE] [BIB]


• Silva, Bruno Castro \relax da and Junges, Robert and Oliveira, Denise and Bazzan, Ana L. C., 2006. ITSUMO: an Intelligent Transportation System for Urban Mobility. Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. May. 1471-1472. [FILE] [BIB]


• Silva, Bruno Castro da and Basso, Eduardo W. and Bazzan, Ana L. C. and Engel, Paulo M. , 2006. Dealing with Non-Stationary Environments using Context Detection. Proceedings of the 23rd International Conference on Machine Learning ICML. June. 217-224. [FILE] [BIB]


• Bazzan, Ana L. C., 2006. Distributed Diagnosis of Faults in Circuits and Biological Systems. Proceedings of 3rd Workshop on Model-Based Systems (ECAI 2006). August. 16-20. [FILE] [BIB]


• Ana L. C. Bazzan and Robert Junges, 2006. Congestion Tolls as Utility Alignment Between Agent and System Optimum. Proceedings of the Fifth Int. Joint Conference on Autonomous Agents and Multiagent Systems. May. 126-128. [FILE] [BIB]


• Ana L. C. Bazzan and R. Junges, 2006. Traffic Network Equilibrium using Congestion Tolls: a case study. Proceedings of the 4th Workshop on Agents in Traffic and Transportation. May. 1-8. [FILE] [BIB]


• Bazzan, Ana L. C. and Fehler, M. and Kl�gl, F., 2006. Learning To Coordinate In a Network Of Social Drivers: The Role Of Information. Proceedings of the International Workshop on Learning and Adaptation in MAS (LAMAS 2005). 3898. 115-128. [FILE] [BIB]


• Oliveira, Denise \relax de and Bazzan, Ana L. C. and Silva, Bruno C. da and Basso, E. W. and Nunes, L. and Rossetti, R. J. F. and Oliveira, E. C. and Silva, R. and Lamb, L. C., 2006. Reinforcement learning based control of traffic lights in non-stationary environments: a case study in a microscopic simulator. Proceedings of the 4th European Workshop on Multi-Agent Systems, (EUMAS06). December. 31-42. [FILE] [BIB]


• Ferreira, Jr., Paulo R. and Ana L. C. Bazzan, 2006. Swarm-GAP: A Swarm Based Approximation Algorithm for E-GAP. First International Workshop on Agent Technology for Disaster Management (ATDM). May. 49-55. [FILE] [BIB]


• Ferreira, Jr., Paulo R., 2006. Estrutura Organizacional Emergente em Sistemas Multiagentes. Janeiro. [FILE] [BIB]


• Silva, Bruno C. da and Oliveira, Denise de and Bazzan, Ana L. C. and Basso, E. W., 2006. Adaptive Traffic Control with Reinforcement Learning. Proceedings of the 4th Workshop on Agents in Traffic and Transportation (at AAMAS 2006). May. 80-86. [FILE] [BIB]


• Silva, R. and Bazzan, Ana L. C. and Baraviera, A. and Dahmen, S. R., 2006. Emerging collective behavior of financial dynamics in a public investment game. Physica A. vol.371. 2. {610-626. [BIB]


• Toyama, Marcelo and Bazzan, Ana L. C. and Silva, Roberto, 2006. An Agent-Based Model of Pedestrian Dynamics: from Lane Formation to Auditorium Evacuation. Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006). May. 108-110. [FILE] [BIB]


• Toyama, Marcelo Costa, 2006. Uma abordagem multiagente para din�mica de pedestres. Mar\c co. [FILE] [BIB]


• Silva, Bruno Castro da and Basso, Eduardo Wisnieski and Bazzan, Ana Lucia Cetertich and Engel, Paulo Martins, 2006. Context Detection: Dealing with non-stationarity in reinforcement learning. Proceedings of the Workshop on Learning and Adaptation in Autonomous Agents and Multiagent Systems (held together with AAMAS 2006). May. 63-69. [BIB]


• Ferreira, Jr., Paulo R. and Ana L. C. Bazzan, 2006. Self-Organization of Agents to Solve Machine Sequencing Problems. Workshop on Adaptation and Learning in Autonomous Agents and Multiagent Systems (ALAAMAS). May. 70-75. [FILE] [BIB]



2005



• Bazzan, Ana L. C. and Kl�gl, F., 2005. Reducing the Effects of the Braess Paradox with Information Manipulation. Applications of Agent Technology in Traffic and Transportation. 85-98. [FILE] [BIB]


• Silva, Roberto \relax da and Bazzan, Ana L. C. and Baraviera, A. and Dahmen, S. R., 2005. Emerging Collective Behavior in a Simple Artificial Financial Market. Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems. vol.1. July. 313-319. [BIB]


• Lorenzi, Fabiana and dos Santos, Daniela Scherer and Bazzan, Ana Lucia C. , 2005. Negotiation for task allocation among agents in case-base recommender systems: a swarm-intelligence approach. Proceedings of the Workshop Multi-Agent Information Retrieval and Recommender Systems - Nineteenth International Conference on Artificial Intelligence (IJCAI 2005). July. 23-27. [BIB]


• Lorenzi, F. and dos Santos, D. and Bazzan, Ana L. C., 2005. Case-based recommender system inspired by social insects. V Encontro Nacional de Intelig�ncnia Artificial (ENIA05). [FILE] [BIB]


• Lorenzi, F. and Ricci, F., 2005. Case-based recommender systems: a unifying view. Intelligent Techniques for Web Personalization. 89-113. [BIB]


• Ana L. C. Bazzan and A. C. P. L. F. Carvalho, 2005. Multi-agent Systems and Machine Learning Facilitating Genome Annotation. Revista de Informatica Te�rica e Aplicada. vol.12. 1. 83-110. [FILE] [BIB]


• Bazzan, Ana L. C., 2005. A Distributed Approach for Coordination of Traffic Signal Agents. Autonomous Agents and Multiagent Systems. vol.10. 1. March. 131-164. [FILE] [BIB]


• Silva, Bruno Castro \relax da and Bazzan, Ana L. C. and Andriotti, Gustavo. K. and Oliveira, Denise de, 2005. ITSUMO: an Intelligent Transportation System for Urban Mobility. Proceedings of the Optimization of Urban Traffic Systems. 224-235. [FILE] [BIB]


• C�ssia T. dos Santos and Ana L. C. Bazzan, 2005. Integrating Knowledge through Cooperative Negotiation -- A Case Study in Bioinformatics. Proceedings of the International Workshop on Autonomous Intelligent Systems: Agents and Data Mining. 3505. June. 277-288. [FILE] [BIB]


• dos Santos, D. S. and Oliveira, Denise de and Lorenzi, F. and Ferreira, Jr., Paulo R. and Bazzan, Ana L. C., 2005. Estudo de Insetos Sociais e sua aplica��o na solu��o de problemas computacionais. 350. Junho. [FILE] [BIB]


• Oliveira, Denise de and Bazzan, Ana L. C. and Ferreira, Jr., Paulo R. and Silva, Bruno C., 2005. Coordena��o din�mica de sem�foros: dois casos de estudo. V Encontro Nacional de Intelig�ncia Artificial (ENIA05). 761-770. [FILE] [BIB]


• Oliveira, Denise de and Bazzan, Ana L. C. and Lesser, V., 2005. Using Cooperative Mediation to Coordinate Traffic Lights: a Case Study. Proceedings of the 4th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS). July. 463-470. [FILE] [BIB]


• Denise de Oliveira, 2005. Um Estudo de coordena��o din�mica de agentes aplicado ao gerenciamento de tr�fego veicular urbano. Abril. [FILE] [BIB]


• Nascimento, L. V. and Bazzan, Ana L. C., 2005. An Agent-Based System for Re-annotation of Genomes. Genet. Mol. Res.. vol.. . 571-580. [FILE] [BIB]


• Nascimento, Leonardo Vianna do, 2005. Um sistema baseado em agentes para re-anota��o de genomas. Julho. [FILE] [BIB]


• Ferreira, Jr., Paulo R. and Ana L. C. Bazzan, 2005. Distributed Meeting Schedule through Cooperative Mediation: analysing OptAPO's performance in a complex scenario. Proceedings of the 6th International Workshop on Distributed Constraint Reasoning (DCR). July. 101-113. [FILE] [BIB]


• Ferreira, Jr., Paulo R. and Denise de Oliveira and Ana L. C. Bazzan, 2005. A Swarm Based Approach to Adapt the Structural Dimension of Agents' Organizations. Journal of Brazilian Computer Society - JBCS - Special Issue on Agents Organizations. vol.11. 1. July. 63-73. [FILE] [BIB]


• Bazzan, Ana L. C. and dos Santos, C. T. , 2005. Selection of Data Sets of Motifs as Attributes in the Process of Automating the Annotation of Proteins' Keywords in Bioinformatics. Proceedings of Brazilian Symposium on Bioinformatics (BSB). 3594. July. 230-233. [FILE] [BIB]


• Bazzan, Ana L. C. and Kl�gl, Franziska, 2005. Case Studies on the Braess Paradox: simulating route recommendation and learning in abstract and microscopic models. Transportation Research C. vol.13. 4. August. 299--319. [FILE] [BIB]



2004



• Almeida, Licurgo Benemann de, 2004. Uma Proposta de modelo fisiol�gico de emo�\~oes. Junho. [FILE] [BIB]


• Batista, G. E. A. P. A. and Bazzan, A. L. C. and Monard, M. C., 2004. Balancing Training Data for Automated Annotation of Keywords: a Case Study. Revista Tecnologia da Informa��o. vol.3. 2. 15 - 20. [BIB]


• Andriotti, Gustavo Kuhn, 2004. Modelagem de motoristas e cen�rios de escolha de rota em simula�\~oes de tr�fego veicular urbano. Novembro. [FILE] [BIB]


• Toyama, Marcelo C., 2004. Estudo sobre modelos de aut�matos celulares para simula��o de movimentos de pedestres: trabalho individual I. [BIB]


• Batista, G. E. A. P. A. and Monard, M. C. and Bazzan, A. L. C., 2004. Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets. Knowledge Exploration in Life Science Informatics: International Symposium (KELSI). vol.3303. 20-32. [BIB]


• Silva, Bruno C. and Bazzan, Ana L. C. and Oliveira, Denise and Ferreira, Jr., Paulo R. and Lopes, F. and Andriotti, G. K. and Papageorgiou, T. M., 2004. Desenvolvimento de um Sistema Livre para Simula��o de Tr�fego Baseada em Modelos Microsc�picos. Anais do Workshop sobre Software Livre (WSL), V Forum Internacional de Software Livre , FISL. 80-87. [BIB]


• Kl�gl, F. and Bazzan, Ana L. C., 2004. Route Decision Behaviour in a Commuting Scenario. Journal of Artificial Societies and Social Simulation. vol.7. 1. [FILE] [BIB]


• de Oliveira, Denise and Ferreira, Jr., Paulo R. and Bazzan, Ana L. C., 2004. A Swarm Based Approach for Task Allocation in Dynamic Agents Organizations. Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multi Agent Systems, AAMAS. vol.3. July. 1252-1253. [FILE] [BIB]


• de Oliveira, Denise and Ferreira, Jr., Paulo R. and Bazzan, Ana L. C., 2004. Aplica��o de abordagens baseadas na organiza��o de col�nias de insetos sociais para resolu��oo de problemas de organiza��o em Sistemas Multiagentes. 344. [FILE] [BIB]


• de Oliveira, Denise and Ferreira, Jr., Paulo R. and Bazzan, Ana L. C. and Kl�gl, Franziska, 2004. A Swarm-based Approach for Selection of Signal Plans in Urban Scenarios. Proceedings of Fourth International Workshop on Ant Colony Optimization and Swarm Intelligence - ANTS 2004. vol.3172. 416-417. [FILE] [BIB]


• Kl�gl, F. and Bazzan, Ana L. C., 2004. Simulated Route Decision Behaviour: Simple Heuristics and Adaptation. Human Behaviour and Traffic Networks. 285-304. [BIB]


• dos Santos, C. T. and Bazzan, Ana L. C., 2004. Using the A3C System for Annotation of Keywords - A Case Study. Proceedings of Thirth Brazilian Workshop on Bioinformatics. [FILE] [BIB]


• Bazzan, Ana L. C. and Fajardo, B. S. and Nascimento, L. V. and dos Santos, C. T. and Sassi, V. F., 2004. Um Sistema Baseado em Software Livre para Anota��o Autom�tica de Genomas e Prote�nas. Anais do V Workshop sobre Software Livre, V Forum Internacional de Software Livre (WSL2004 -- FISL2004). 185-188. [FILE] [BIB]


• Kl�gl, F. and Bazzan, Ana L. C., 2004. Simulation Studies on Adaptative Route Decision and the Influence of Information on Commuter Scenarios. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. vol.8. 4. October/December. 223-232. [FILE] [BIB]



2003



• Bazzan, Ana L. C. and Kl�gl, F., 2003. Simulating the Braess Paradox in Commuting Scenarios. Modellierung und Simulation menschlichen Verhaltens. March. 11-19. [FILE] [BIB]


• de Oliveira, Denise and Almeida, Licurgo B. and Ferreira, Jr., Paulo R. and Bazzan, Ana L. C., 2003. Estudo de insetos sociais e sua aplica��o para organiza�~ao de sistemas multiagentes. 340. [FILE] [BIB]


• de Oliveira, D., 2003. Estudo Comparativo e Projeto de um Ambiente de Simula��o Baseado em Agentes. [BIB]


• Kl�gl, F. and Bazzan, Ana L. C. and Wahle, J., 2003. Selection of Information Types Based on Personal Utility - a Testbed for Traffic Information Markets. Proceedings of the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS). July. 377-384. [FILE] [BIB]


• Bazzan, Ana L. C. and Cavalheiro, A. P., 2003. Influence of Social Attachment in a Small-World Network of Agents Playing the Iterated Prisoners Dilemma. 5th Workshop of Game Theoretic and Decision Theoretic Agents. July. 17-24. [FILE] [BIB]


• Bazzan, Ana L. C. and Duarte, R. and Pitinga, A. N. and Schroeder L. F. and Silva, S. C. and Souto, F. A., 2003. ATUCG-An Agent-based environment for automatic annotation of genomes. International Journal of Cooperative Information Systems. vol.12. 2. June. 241-273. [FILE] [BIB]


• Schroeder, Luciana F., 2003. Sistema baseado em Agentes para Descoberta de Conhecimento: uma aplica��o em Bioinform�tica. [BIB]


• Adamatti, Diana Francisca, 2003. AFRODITE: ambiente de simula��o baseado em agentes com emo�\~oes. Fevereiro. [FILE] [BIB]


• Bazzan, Ana L. C. and Kl�gl, F., 2003. Learning to Behave Socially and Avoid the Braess Paradox in a Commuting Scenario. 5th Workshop on Decision Theoretic and Game Theoretic Agents. July. 107-112. [FILE] [BIB]



2002



• Bazzan, Ana L. C. and Adamatti, D. F. and Bordini, R. H., 2002. Extending the Computational Study of Social Norms with a Systematic Model of Emotions. Advances in artificial intelligence. 2507. 108-117. [FILE] [BIB]


• Bazzan, Ana L. C. and Lindemann, V. and Lesser, V. L., 2002. A Domain-Independent Diagnosis Tool to Adapt Organizations in Learning Scenarios. Proceedings of the first international joint conference on Autonomous agents and multiagent systems. 316-317. [BIB]


• Bazzan, Ana L. C. and da Silva, S. Ceroni and Engel, P. M. and Schroeder, L. F., 2002. Automatic Annotation of Keywords for Proteins Related to Mycoplasmataceae Using Machine Learning Techniques. Bioinformatics. vol.18. S2. October. S1-S9. [FILE] [BIB]


• Kl�gl, F. and Bazzan, Ana L. C., 2002. Simulation of Adaptive Agents: Learning Heuristics for Route Choice in a Commuter Scenario. Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS). vol.1. July. 217-218. [FILE] [BIB]


• Rossetti, R. J. F. and Bordini, R. H. and Bazzan, Ana L. C. and Bampi, S. and Liu, R. and Van Vliet, D., 2002. Using BDI Agents to Improve Driver Modelling in a Commuter Scenario . Transportation Research Part C: Emerging Technologies. vol.10. 5-6. 47-72. [FILE] [BIB]


• Lindemann, Vanessa, 2002. Utiliza��o de uma ferramenta independente do dom�nio para diagn�stico do comportamento do aluno em atividades de ensino a dist�ncia. Abril. [FILE] [BIB]


• Wahle, J. and Bazzan, Ana L. C. and Kl�gl, F., 2002. The Impact of Real Time Information in a Two Route Scenario using Agent Based Simulation. Transportation Research Part C: Emerging Technologies. vol.10. 5-6. 73-91. [FILE] [BIB]


• Andriotti, G. K. and Bazzan, Ana L. C., 2002. An Object-Oriented Microscopic Traffic Simulator. Proceedings of the 28th Latin-American Conference on Informatics, CLEI. [BIB]


• Schroeder, L. F. and Bazzan, Ana L. C., 2002. A Multi-agent System to Facilitate Knowledge Discovery: an Application to Bioinformatics. Proceedings of the Workshop on Bioinformatics and Multi-Agent Systems (BIXMAS'2002). 44-50. [FILE] [BIB]


• Schroeder, L. F. and Bazzan, Ana L. C. and Valiati, Jo�o and Engel, P. M. and Ceroni, S�rgio, 2002. A comparison between symbolic and non-symbolic machine learning techniques in automated annotation the Keywords field of SWISS-PROT. First Brazilian Workshop on Bioinformatics. 80-87. [FILE] [BIB]



2001



• Bazzan, Ana L. C. and Bordini, R. H., 2001. A Framework for the Simulation of Agents with Emotions: Report on Experiments with the Iterated Prisoners Dilemma. Proceedings of The Fifth International Conference on Autonomous Agents. May. 292-299. [FILE] [BIB]


• Sander, Cl�udia, 2001. Combinando T�cnicas de Data Warehousing e Minera��o de Dados em Avalia�\~oes Imobili�rias. [BIB]


• Bazzan, Ana L. C., 2001. Coordena��o de agentes com uso de t�cnicas de teoria dos jogos. Jornada de Atualiza��o em Intelig�ncia Artificial. 3-43. [BIB]



2000



• Wahle, J. and Bazzan, Ana L. C. and Bordini, R. H. and Schreckenberg, M., 2000. Human Factors in a Commuter Scenario. Proceedings of the XI Panamerican Conference in Traffic and Transportation Engineering. November. [BIB]


• Bazzan, Ana L. C. and Wahle, J. and Kl�gl, F., 2000. Driving and Route Choice - a Layered Agent Architecture for Traffic Simulation. 14. ASIM - Workshop on Multi-Agent Systems and Individual-Based Simulation. March. [BIB]


• Bazzan, Ana L. C. and Bordini, R. H. and G. K. Andriotti and R. Viccari and J. Wahle, 2000. Wayward Agents in a Commuting Scenario (Personalities in the Minority Game). Proc. of the Int. Conf. on Multi-Agent Systems (ICMAS). July. 55-62. [BIB]


• Bazzan, Ana L. C. and R. H. Bordini and R. M. Vicari and J. Wahle, 2000. Evolving Populations of Agents with Personalities in the Minority Game. Ibero-American Conf. of AI and Brazilian Symposium of AI. [FILE] [BIB]


• Wahle, J. and Bazzan, Ana L. C. and Kl�gl, F. and Schreckenberg, M., 2000. Decision Dynamics in a Traffic Scenario. Physica A. vol.287. 3-4. 669-681. [FILE] [BIB]


• Wahle, J. and Bazzan, Ana L. C. and Bordini, R. H. and Schreckenberg, M., 2000. Adding Personalities to the Minority Game - A Commuter Scenario. International Workshop on Economic Dynamics from the Physics Point of View. March. [BIB]


• Kl�gl, F. and J. Wahle and Ana L. C. Bazzan and M. Schreckenberg, 2000. Towards Anticipatory Traffic Forecast -- Modelling of Route Choice behavior. Workshop on Agents in Traffic and Transportation (Autonomous Agents 2000). [FILE] [BIB]


• Wahle, J. and Bazzan, Ana L. C. and Kl�gl, F. and Schreckenberg, M., 2000. Anticipatory Traffic Forecast Using Multi-Agent Techniques. Traffic and Granular Flow. 87-92. [FILE] [BIB]


• Bazzan, Ana L. C. and R. H. Bordini, 2000. Evolving agents with moral sentiments in an iterated prisoners dilemma exercise. Game Theoretic and Decision Theoretic Agents. [BIB]


• Bazzan, Ana L. C. and J. Wahle and R. Bordini, 2000. Simulating Agents Personalities in a Commuting Scenario. 14. ASIM - Workshop on Multi-Agent Systems and Individua-Based Simulation. March. [BIB]


• Horling, B. and Lesser, V. and Vincent, R. and Bazzan, Ana L. C. and Xuan, P., 2000. Diagnosis as an Integral Part of Multi-Agent Adaptability. DARPA Information Survivability Conference and Exposition. January. 211-219. [FILE] [BIB]



1999



• Bazzan, Ana L. C. and R. H. Bordini and J. A. Campbell, 1999. Moral sentiments in multi-agent systems. Intelligent Agents V. 1555. 113-131. [FILE] [BIB]


• Bazzan, Ana L. C. and J. Wahle and F. Kl�gl, 1999. Agents in Traffic Modelling - from Reactive to Social Behavior. Advances in Artificial Intelligence. 1701. 303-306. [FILE] [BIB]



1998



• Bazzan, Ana L. C. and Bordini, R. H. and Campbell, J. A., 1998. Moral Sentiments in the Iterated Prisoners Dilemma. Workshop on Agent Theories, Architecture and Languages (ATAL98). July. 335-342. [BIB]



1997



• Bazzan, Ana L. C., 1997. An Evolutionary Game-Theoretic Approach for Coordination of Traffic Signal Agents. [BIB]


• Bazzan, Ana L. C. and Bordini, R. H. and Campbell, J. A. , 1997. Agents with Moral Sentiments in an Iterated Prisoners Dilemma Exercise. AAAI Fall Symposium on Socially Intelligent Agents. [BIB]



1996



• Bazzan, Ana L. C., 1996. Coordination Among Individually-Motivated Agents: an Evolutionary Approach. Advances in Artificial Intelligence. 1159. 71-80. [BIB]



1995



• Bazzan, Ana L. C., 1995. A Game-Theoretic Approach to Distributed Control of Traffic Signals. Proc. of the First Int. Conf. on Multi-Agent Systems (ICMAS). 439. [BIB]



1994



• Bazzan, Ana L. C., 1994. Traffic Signals Coordination Based on Distributed Problem Solving. Seventh IFAC/IFORS Symp. on Transportation Systems: Theory and Application of Advanced Technology. 957-962. [BIB]



1993



• Bazzan, Ana L. C., 1993. M�todos de C�lculo de Diagn�stico de Falhas em Dispositivos F�sicos. Diagn�stico Inteligente. 12-36. [BIB]