English

Making Agents' Abilities Explicit

Artificial Intelligence 2018-11-28 v1 Formal Languages and Automata Theory

Abstract

Alternating-time temporal logics (ATL/ATL*) represent a family of modal logics for reasoning about agents' strategic abilities in multiagent systems (MAS). The interpretations of ATL/ATL* over the semantic model Concurrent Game Structures (CGS) usually vary depending on the agents' abilities, for instance, perfect vs. imperfect information, perfect vs. imperfect recall, resulting in a variety of variants which have been studied extensively in literature. However, they are defined at the semantic level, which may limit modeling flexibilities and may give counter-intuitive interpretations. To mitigate these issues, in this work, we propose to extend CGS with agents' abilities and study the new semantics of ATL/ATL* under this model. We give PSACE/2EXPTIME model-checking algorithms for ATL/ATL* and implement them as a prototype tool. Experiment results show the practical feasibility of the approach.

Keywords

Cite

@article{arxiv.1811.10901,
  title  = {Making Agents' Abilities Explicit},
  author = {Yedi Zhang and Fu Song and Taolue Chen},
  journal= {arXiv preprint arXiv:1811.10901},
  year   = {2018}
}