DocumentCode :
1660639
Title :
Reasoning about Groups: A Cognitive Model for the Social Behavior Spectrum
Author :
Zuckerman, Inon ; Hadad, Meirav
Author_Institution :
Inst. for Adv. Comput. Studies, Univ. of Maryland, College Park, MD, USA
Volume :
2
fYear :
2011
Firstpage :
125
Lastpage :
132
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.
Keywords :
cognitive systems; software agents; cognitive model; constraints satisfaction problem; group membership problem; group reasoning; mental model; social behavior spectrum; social capability; social groups; social intelligence; social structure; Bismuth; Cognitive science; Computational modeling; Context; Cost accounting; Educational institutions; Proposals; Autonomous agents; BDI; Social agents;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
Conference_Location :
Lyon
Print_ISBN :
978-1-4577-1373-6
Electronic_ISBN :
978-0-7695-4513-4
Type :
conf
DOI :
10.1109/WI-IAT.2011.128
Filename :
6040765
Link To Document :
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