Publicado em: 22/08/2011
Profa. Franziska Klügl da Universidade de Örebro-Suécia palestra no INF
No dia 02 de setembro, sexta-feira, às 9h, na sala 107 do INF, a profa. Dra. Franziska Klügl – PhD em Ciência da Computação fez uma palestra sobre “Multiagent Simulation – From Concepts to Application”. Tratou-se de mais um evento resultado da cooperação entre o INF-UFRGS e Universidade de Örebro-Suécia.
Resumo:
What do ants, travelers and companies have in common? Their interactions produce trails, congestion or market crashes. For analyzing, explaining or even predicting these phenomena, the method of choice is Multiagent Simulation. Hereby, the model conceptualization is based on multiagent systems. More or less autonomous interacting agents live in a modeled environment. Multiagent simulation in fact has its origins in social science, but can meanwhile be seen as a general modeling and simulation paradigm apt for complex distributed systems with flexibly acting and interacting entities producing some higher-level pattern or behavior.
After shortly introducing the basic challenges of multiagent simulation, this talk will focus on my research for addressing particular challenges in the development and validation of multiagent simulation studies. Also, an overview over applications especially in the area of traffic and pedestrian simulation will be given.
Bio:
Dr. Franziska Klügl (PhD in computer science in 2000, University of Würzburg, Germany) is associate professor for Information Technology at Örebro University, School of Natural Science and Technology, Sweden. She leads the Multi-Agent Simulation Group at the Modeling and Simulation Research Center of the Örebro University. Within her research on the methodological basis and application of multi-agent systems, she is managing the development and extension of the generic SeSAm modeling and simulation system. Her research interests include multi-agent simulation and systems and their application in biology, geography and traffic, visual programming and human-computer interaction.