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On Domination and Control in Strategic Ability

Published: 08 May 2019 Publication History

Abstract

We propose a technique to compare partial strategies for agents and coalitions in multi-agent environments with imperfect information. The proposed relation mimics the game-theoretic notion of strategic dominance: a stronger partial strategy can replace a weaker one in a full strategy, while preserving the enforceability of a given goal. Our version of dominance is based on a new notion of input/output characteristics for partial strategies. Intuitively, the inputs are the states where the strategy gains control over execution, and the outputs are the states where it returns the control to the environment. Moreover, we identify the sources of dependence between partial strategies, and show conditions under which they can be analysed in a fully independent way. We evaluate our approach on two scalable benchmarks from the literature. The experiments are carried out for the tasks of incremental synthesis of uniform strategies and optimization of a winning strategy, with very promising results.

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  • (2019)STVProceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3306127.3332116(2372-2374)Online publication date: 8-May-2019

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Published In

cover image ACM Conferences
AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems
May 2019
2518 pages
ISBN:9781450363099

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Publisher

International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 08 May 2019

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Author Tags

  1. alternating-time temporal logic
  2. imperfect information
  3. model checking
  4. strategy synthesis

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  • Research-article

Funding Sources

  • The National Centre for Research and Development Poland

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AAMAS '19
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AAMAS '19 Paper Acceptance Rate 193 of 793 submissions, 24%;
Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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  • (2019)STVProceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3306127.3332116(2372-2374)Online publication date: 8-May-2019

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