A framework of coalition in hostile dynamic settings

Goyal, M

A framework of coalition in hostile dynamic settings

Goyal, M

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06, 2006, 1 pp. 104 - 110
Issue Date:: 2006-12-01

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Field	Value	Language
dc.contributor.author	Goyal, M https://orcid.org/0000-0003-2853-9393	en_US
dc.date.issued	2006-12-01	en_US
dc.identifier.citation	Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06, 2006, 1 pp. 104 - 110	en_US
dc.identifier.isbn	9781932415988	en_US
dc.identifier.uri	http://hdl.handle.net/10453/7033
dc.description.abstract	One of the main underpinning of the multi-agent systems community is how and why autonomous agent? should cooperate with one another. Several formal and computational models of cooperative work or coalition are currently developed and used within multi-agent systems research. The coalition facilitates the achievement of cooperation among different agents. In this paper, a mental construct called attitude is proposed and its significance in coalition formation in a dynamic fire world is discussed. This paper presents ABCAS (Attitude Based Coalition Agent System) that shows coalitions in multi-agent systems are an effective way of dealing with the complexity of fire world. It shows that coalitions explore the attitudes and behaviors that help agents to achieve goals that cannot be achieved alone or to maximize net group utility.	en_US
dc.relation.ispartof	Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06	en_US
dc.title	A framework of coalition in hostile dynamic settings	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1	en_US
utslib.for	1702 Cognitive Sciences	en_US
dc.location.activity	Las Vegas, USA	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	1	en_US

Abstract:

One of the main underpinning of the multi-agent systems community is how and why autonomous agent? should cooperate with one another. Several formal and computational models of cooperative work or coalition are currently developed and used within multi-agent systems research. The coalition facilitates the achievement of cooperation among different agents. In this paper, a mental construct called attitude is proposed and its significance in coalition formation in a dynamic fire world is discussed. This paper presents ABCAS (Attitude Based Coalition Agent System) that shows coalitions in multi-agent systems are an effective way of dealing with the complexity of fire world. It shows that coalitions explore the attitudes and behaviors that help agents to achieve goals that cannot be achieved alone or to maximize net group utility.

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http://hdl.handle.net/10453/7033