loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Norihiro Kamide 1 and Daiki Koizumi 2

Affiliations: 1 Teikyo University, Japan ; 2 Aoyama Gakuin University, Japan

Keyword(s): Computation Tree Logic, Paraconsistent Reasoning, Probabilistic Reasoning, Model Checking.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Representation and Reasoning ; Symbolic Systems ; Uncertainty in AI

Abstract: Computation tree logic (CTL) is known to be one of the most useful temporal logics for verifying concurrent systems by model checking technologies. However, CTL is not sufficient for handling inconsistency-tolerant and probabilistic accounts of concurrent systems. In this paper, a paraconsistent (or inconsistency-tolerant) probabilistic computation tree logic (PpCTL) is derived from an existing probabilistic computation tree logic (pCTL) by adding a paraconsistent negation connective. A theorem for embedding PpCTL into pCTL is proven, which indicates that we can reuse existing pCTL-based model checking algorithms. Some illustrative examples involving the use of PpCTL are also presented.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 13.58.161.115

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:
Kamide, N. and Koizumi, D. (2015). Combining Paraconsistency and Probability in CTL. In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-074-1; ISSN 2184-433X, SciTePress, pages 285-293. DOI: 10.5220/0005180402850293

@conference{icaart15,
author={Norihiro Kamide. and Daiki Koizumi.},
title={Combining Paraconsistency and Probability in CTL},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2015},
pages={285-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005180402850293},
isbn={978-989-758-074-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Combining Paraconsistency and Probability in CTL
SN - 978-989-758-074-1
IS - 2184-433X
AU - Kamide, N.
AU - Koizumi, D.
PY - 2015
SP - 285
EP - 293
DO - 10.5220/0005180402850293
PB - SciTePress