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Reasoning about coalitional games

delete2009-01-01
delete44
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OA
AI
T
Thomas Ågotnes *
W
Wiebe van der Hoek
M
Michael Wooldridge
DOI:10.1016/j.artint.2008.08.004delete
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Abstract

Abstract

En 中文
We develop, investigate, and compare two logic-based knowledge representation formalisms for reasoning about coalitional games. The main constructs of Coalitional Game Logic (CGL) are expressions for representing the ability of coalitions, which may be combined with expressions for representing the preferences that agents have over outcomes. Modal Coalitional Game Logic (MCGL) is a normal modal logic, in which the main construct is a modality for expressing the preferences of groups of agents. For both frameworks, we give complete axiomatisations, and show how they can be used to characterise solution concepts for coalitional games. We show that, while CGL is more expressive than MCCL, the former can only be used to reason about coalitional games with finitely many outcomes, while MCGL can be used to reason also about games with infinitely many outcomes, and is in addition more succinct. We characterise the computational complexity of satisfiability for CGL, and give a tableaux-based decision procedure. (C) 2008 Elsevier B.V. All rights reserved.
Keywords:
Multi-agent systems
Knowledge representation
Coalitional games
Modal logic
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Journal

Artificial Intelligence Review cover
Artificial Intelligence Review
IF:
13.9
Papers:
6.1K
Citations:
1.9W

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W
Western Norway University of Applied Sciences
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University of Liverpool
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