Quantified Epistemic and Probabilistic ATL

Henning Schnoor

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

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.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.15.12.95

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

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