Coalition Structure Generation in Multi-Agent Systems With Positive and Negative Externalities
Coalition Structure Generation in Multi-Agent Systems With Positive and Negative Externalities
Coalition structure generation has received considerable attention in recent research. Several algorithms have been proposed to solve this problem in Characteristic Function Games (CFGs), where every coalition is assumed to perform equally well in any coalition structure containing it. In contrast, very little attention has been given to the more general Partition Function Games (PFGs), where a coalition’s effectiveness may change from one coalition structure to another. In this paper, we deal with PFGs with positive and negative externalities. In this context, we identify the minimum search that is required in order to establish a bound on the quality of the best coalition structure found. We then develop an anytime algorithm that improves this bound with further search, and show that it outperforms the existing state-of-the-art algorithms by orders of magnitude.
Coalition Formation, Multi-Agent Systems, Combinatorial Optimization
257-263
Rahwan, Talal
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Michalak, Tomasz
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Jennings, Nicholas
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Wooldridge, Michael
94674704-0392-4b93-83db-18198c2cfa3b
McBurney, Peter
dc60c2e9-5ea9-46cf-915f-05d1e39826f9
May 2009
Rahwan, Talal
476029f3-5484-4747-9f44-f63f3687083c
Michalak, Tomasz
18675d03-00c5-449c-9215-ba0f11d3302f
Jennings, Nicholas
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Wooldridge, Michael
94674704-0392-4b93-83db-18198c2cfa3b
McBurney, Peter
dc60c2e9-5ea9-46cf-915f-05d1e39826f9
Rahwan, Talal, Michalak, Tomasz, Jennings, Nicholas, Wooldridge, Michael and McBurney, Peter
(2009)
Coalition Structure Generation in Multi-Agent Systems With Positive and Negative Externalities.
The 21st International Joint Conference on Artificial Intelligence (IJCAI-09), Pasadena, United States.
.
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Abstract
Coalition structure generation has received considerable attention in recent research. Several algorithms have been proposed to solve this problem in Characteristic Function Games (CFGs), where every coalition is assumed to perform equally well in any coalition structure containing it. In contrast, very little attention has been given to the more general Partition Function Games (PFGs), where a coalition’s effectiveness may change from one coalition structure to another. In this paper, we deal with PFGs with positive and negative externalities. In this context, we identify the minimum search that is required in order to establish a bound on the quality of the best coalition structure found. We then develop an anytime algorithm that improves this bound with further search, and show that it outperforms the existing state-of-the-art algorithms by orders of magnitude.
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Rahwan_etal.pdf
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Published date: May 2009
Venue - Dates:
The 21st International Joint Conference on Artificial Intelligence (IJCAI-09), Pasadena, United States, 2009-05-01
Keywords:
Coalition Formation, Multi-Agent Systems, Combinatorial Optimization
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 267285
URI: http://eprints.soton.ac.uk/id/eprint/267285
PURE UUID: df168ea3-62b4-4d0c-866a-409bc160bc8c
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Date deposited: 21 Apr 2009 20:38
Last modified: 14 Mar 2024 08:46
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Contributors
Author:
Talal Rahwan
Author:
Tomasz Michalak
Author:
Nicholas Jennings
Author:
Michael Wooldridge
Author:
Peter McBurney
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