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AIJ 2009

Reasoning about coalitional games

Journal Article journal-article Artificial Intelligence

Abstract

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 mcgl, 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.

Authors

Keywords

  • Multi-agent systems
  • Knowledge representation
  • Coalitional games
  • Modal logic

Context

Venue
Artificial Intelligence
Archive span
1970-2026
Indexed papers
3976
Paper id
1016485328614662719
v2026.09.13