Quantified Epistemic and Probabilistic ATL

Henning Schnoor

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Paper

Quantified Epistemic and Probabilistic ATL

Topics: Cooperation and Coordination; Knowledge Representation and Reasoning; Multi-Agent Systems

In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 14-23, 2013 , Barcelona, Spain

Author: Henning Schnoor

Affiliation: Christian-Albrechts-Universität zu Kiel, Germany

Keyword(s): ATL, Multi-agent systems, Epistemic Logic.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Cooperation and Coordination ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge Representation and Reasoning ; Knowledge-Based Systems ; Multi-Agent Systems ; Software Engineering ; Symbolic Systems

Abstract: We introduce QAPI (quantified ATL with probabilism and incomplete information), which extends epistemic and probabilistic ATL with a flexible mechanism to reason about strategies in the object language, allowing very flexible treatment of the behavior of the “counter-coalition”. QAPI can express complex strategic properties such as equilibria. We show how related logics can be expressed in QAPI, provide bisimulation relations, and study the issues arising from the interplay between quantifiers and both epistemic and temporal operators.

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Paper citation in several formats:

Schnoor, H. (2013). Quantified Epistemic and Probabilistic ATL. In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8565-39-6; ISSN 2184-433X, SciTePress, pages 14-23. DOI: 10.5220/0004189300140023

@conference{icaart13,
author={Henning Schnoor.},
title={Quantified Epistemic and Probabilistic ATL},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2013},
pages={14-23},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004189300140023},
isbn={978-989-8565-39-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Quantified Epistemic and Probabilistic ATL
SN - 978-989-8565-39-6
IS - 2184-433X
AU - Schnoor, H.
PY - 2013
SP - 14
EP - 23
DO - 10.5220/0004189300140023
PB - SciTePress