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Natural strategic ability under imperfect information

  • Polish Academy of Sciences
  • Université d'Evry Val d'Essonne
  • University of Naples Federico II

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Résumé

Strategies in game theory and multi-agent logics are mathematical objects of remarkable combinatorial complexity Recently, the concept of natural strategies has been proposed to model more human-like reasoning about simple plans and their outcomes So far, the theory of such simple strategic play was only considered in scenarios where all the agents have perfect information about the state of the game In this paper, we extend the notion of natural strategies to games with imperfect information We also show that almost all the complexity results for model checking carry over from the perfect to imperfect information setting That is, verification of natural strategies is usually no more complex for agents with uncertainty This tells games of natural strategic ability clearly apart from most results in game theory and multi-agent logics.

langue originaleAnglais
titre18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
EditeurInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages962-970
Nombre de pages9
ISBN (Electronique)9781510892002
étatPublié - 1 janv. 2019
Modification externeOui
Evénement18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 - Montreal, Canada
Durée: 13 mai 201917 mai 2019

Série de publications

NomProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume2
ISSN (imprimé)1548-8403
ISSN (Electronique)1558-2914

Une conférence

Une conférence18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
Pays/TerritoireCanada
La villeMontreal
période13/05/1917/05/19

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