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Computing coalitions in Multiagent Systems, A contextual reasoning approach
Bikakis, Antonis; Caire, Patrice
2014In European Conference on Multi-Agent Systems, Prague 18-19 December 2014
Peer reviewed
 

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Keywords :
Distributed AI; social dependence network; coalition formation; conviviality; multi context system
Abstract :
[en] In multiagent systems, agents often have to rely on other agents to reach their goals, for example when they lack a needed resource or do not have the capability to perform a required action. Agents there- fore need to cooperate. Some of the questions then raised, such as, which agent to cooperate with, are addressed in the field of coalition formation. In this paper we go further and first, address the question of how to com- pute the solution space for the formation of coalitions using a contextual reasoning approach. We model agents as contexts in Multi-Context Systems (MCS) and dependence relations among agents as bridge rules. We then systematically compute all potential coalitions using algorithms for MCS equilibria. Finally, given a set of functional and non-functional requirements, we propose ways to select the best solutions. We illustrate our approach with an example from robotics.
Disciplines :
Computer science
Author, co-author :
Bikakis, Antonis;  University College London > Department of Information Studies
Caire, Patrice ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Language :
English
Title :
Computing coalitions in Multiagent Systems, A contextual reasoning approach
Publication date :
18 December 2014
Event name :
12th European Conference on Multi-Agent Systems
Event place :
Prague, Czechia
Event date :
18-12-2014 to 19-12-2014
Main work title :
European Conference on Multi-Agent Systems, Prague 18-19 December 2014
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 18 December 2014

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