Evolution of social belief in multiagent systems

Petar M. Djurić, Yunlong Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


In the paper we study the evolution of social belief among rational agents. The agents receive private signals and use them to make decisions on the hypothesis (of two competing hypothesis) under which the signals are generated. Their individual information is imperfect and so are their decisions. We define the concept of social belief about the truthfulness of the two hypotheses and determine it in two cases. In one of them the agents make decisions simultaneously and independently and report the decisions whereas in the other, the agents make decisions sequentially and while making them they not only use their private signals but also the decisions of the previous agents. We discuss several analytical results and demonstrate some of them by computer simulations.

Original languageEnglish (US)
Title of host publication2011 IEEE Statistical Signal Processing Workshop, SSP 2011
Number of pages4
StatePublished - 2011
Externally publishedYes
Event2011 IEEE Statistical Signal Processing Workshop, SSP 2011 - Nice, France
Duration: Jun 28 2011Jun 30 2011

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings


Other2011 IEEE Statistical Signal Processing Workshop, SSP 2011


  • agents
  • complex systems
  • information aggregation
  • social learning


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