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2019 | OriginalPaper | Chapter

Decentralized Multiagent Approach for Hedonic Games

Authors : Kshitija Taywade, Judy Goldsmith, Brent Harrison

Published in: Multi-Agent Systems

Publisher: Springer International Publishing

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Abstract

We propose a novel, multi-agent, decentralized approach for hedonic coalition formation games useful for settings with a large number of agents. We also propose three heuristics which, can be coupled with our approach to find sub-coalitions that prefer to “bud off” from an existing coalition. We found that our approach when compared to random partition formation gives better results which further improve when it is coupled with the proposed heuristics. As matching problems are a common type of hedonic games, we have adapted our approach for two matching problems: roommate matching and bipartite matching. Our method does well for additively separable hedonic games, where finding the optimal partition is NP-hard, and gives near optimal results for matching problems.

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previous chapter Computing Consensus: A Logic for Reasoning About Deliberative Processes Based on Argumentation
next chapter Deep Reinforcement Learning in Strategic Board Game Environments
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Metadata
Title
Decentralized Multiagent Approach for Hedonic Games
Authors
Kshitija Taywade
Judy Goldsmith
Brent Harrison
Copyright Year
2019
Book
Multi-Agent Systems

Print ISBN: 978-3-030-14173-8

Electronic ISBN: 978-3-030-14174-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-14174-5_15

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