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Conference Papers Year : 2019

Natural strategic ability under imperfect information

Abstract

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.
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Dates and versions

hal-02428208 , version 1 (05-01-2020)

Identifiers

  • HAL Id : hal-02428208 , version 1

Cite

Wojciech Jamroga, Vadim Malvone, Aniello Murano. Natural strategic ability under imperfect information. 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), May 2019, Montreal, Canada. pp.962--970. ⟨hal-02428208⟩
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