Reasoning about Groups: A Cognitive Model for the Social Behavior Spectrum

Authors:
Inon Zuckerman;Meirav Hadad
Affiliations:
-;-
Venue:
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Year:
2011

Citing 7
Cited 0

The uses of plans

Artificial Intelligence
AgentSpeak(L): BDI agents speak out in a logical computable language

MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
Collaborative plans for complex group action

Artificial Intelligence
Supporting collaborative activity

AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Decision-making in an embedded reasoning system

IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
A logic-based model of intention formation and action for multi-agent subcontracting

Artificial Intelligence
On acting together

AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1

Quantified Score

Hi-index	0.00

Visualization

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.