Reasoning about groups: A cognitive model for the social behavior spectrum

Inon Zuckerman, Meirav Hadad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

An important aspect of Social Intelligence is the ability to correctly capture the social structure and use it to navigate and achieve ones goals. In this work we suggest a mental model that provides agents with similar social capabilities. The model captures the entire social behavior spectrum, and provides design principles that allow agents to reason and change their behavior according to their perception of the cooperative/competitive nature of the society. We also describe computationally the maximum attainable benefits when agents belong to different kinds of social groups. We conclude by exploring the group membership problem as a constraints satisfaction problem, and evaluate few heuristics.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011
Pages125-132
Number of pages8
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011 - Lyon, France
Duration: 22 Aug 201127 Aug 2011

Publication series

NameProceedings - 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011
Volume2

Conference

Conference2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011
Country/TerritoryFrance
CityLyon
Period22/08/1127/08/11

Keywords

  • Autonomous agents
  • BDI
  • Social agents

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