Tese de Diego Vrague Noble

Contato

Detalhes do Evento

Date: 14/12/2017 13:30 – 15:30
Categorias: Defesas, Tese de Doutorado

Aluno: Diego Vrague Noble
Orientador: Prof. Dr. Luis da Cunha Lamb

Título: The Role of Heterogeneity in Social Problem-Solving
Linha de Pesquisa: Inteligência Artificial

Data: 14/12/2017
Horário: 13h30min.
Local: Prédio 43412 – AUD-1 (Auditório 1), Instituto de Informática

Banca Examinadora:
– Prof. Dr. Roberto da Silva (Instituto de Física/UFRGS)
– Prof. Dr. Paulo Roberto Ferreira Júnior (UFPel)
– Prof. Dr. Leandro Krug Wives (UFRGS)

Presidente da Banca: Prof. Dr. Luis da Cunha Lamb

Abstract: This thesis reviews and investigates social problem-solving with a particular focus on artificial and heterogeneous systems. More specifically, we not only compile and comprehensively examine recent research results, but also discuss future directions in the study of such heterogeneous complex systems. Given their complex nature, such systems often defy analyses. Even computationally simple models can behave unpredictably after a few iterations. Therefore, one central issue in Social Computing is to devise models of social interaction that are amenable to investigation. This way, one can understand the complex relationships among the components and the outcome of the social process. This thesis surveys scientific inquiries concerned with fundamental aspects in social problem-solving systems and their impact in ability and performance of such systems. These aspects include modeling, communication structure and individual problem-solver traits. This thesis also reports the student endeavour during the period of research and summarizes several already published contributions. Among them there is (i) the study of general frameworks for the study of social problem-solving, (ii) the investigation of the role of centrality in individual and collective outcomes, and (iii) the exploration of heterogeneous models of social problem-solving. These three points, in an integrated perspective underpin the understanding of network and communication structures, adjust the strategic systems’ composition, and exploit problems’ structures and patterns in social problem-solving systems.

Keywords: Computational social systems. computational social science. social computing.