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Propositional Opinion Diffusion
Date: 2018/5/2             Browse: 123

Speaker:     Prof. Laurent Perrussel. Université Toulouse 1 Capitole

Time:          14:00—15:00, May 2 

Location:    Room 1A-200, SIST Building

Host:          Prof. Dengji Zhao

Abstract:

We present a formal model of opinion diffusion and formation which combines notions from social network analysis together with concepts and techniques from judgment aggregation and merging.

The model allows us to study the propagation of individual opinions,  represented in the form of yes/no answers to a set of multiple binary issues, in a multi-agent system linked by an influence network.

The process is iterative with discrete time. We are interested in characterizing properties of the network structure which guarantee  convergence of the iterative process for every initial configuration of  the agents’ opinions, and in developing tractable algorithms for computing the set of opinions at convergence. We also discuss  strategic aspects of the diffusion.

Bio:

Dr. Laurent Perrussel is a full professor at Université Toulouse 1 Capitole since 2015. He got his PhD in Computer Science from Université Paul Sabatier, Toulouse in 1998 and a Habilitation (HDR) from Université Toulouse 1 Capitole in 2012. He is a member of the AI group at IRIT (Institut de Recherche en Informatique de Toulouse) since 1998. He previously led research on Auction and Mechanism Design. His current research is on GDL (Game Description Language for General Game Playing), BDI agents and strategic reasoning.

SIST-Seminar 18023