Model Checking for Multi-Agent Systems Modeled by Epistemic Process Calculus

This paper presents a comprehensive framework for modeling and verifying multi-agent systems. The paper introduce an Epistemic Process Calculus for multi-agent systems, which formalizes the syntax and semantics to capture the essential features of agent behavior interactions and epistemic states. Building upon this calculus, we propose ATLE, an extension of Alternating-time Temporal Logic incorporating epistemic operators to express complex properties related to agent epistemic state. To verify ATLE specifications, this paper presents a model checking algorithm that systematically explores the state space of a multi-agent system and evaluates the satisfaction of the specified properties. Finally, a case study is given to demonstrate the method.

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Publication Details

Journal
International Journal of Software Engineering & Applications
Published
2025-01-28
DOI
https://doi.org/10.5121/ijsea.2025.16101
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Model Checking for Multi-Agent Systems Modeled by Epistemic Process Calculus

Hui Zong, Zining Cao, Qingliang Yu, Yuan Zhou
International Journal of Software Engineering & Applications
Business Process Modeling and Analysis
article

Model Checking for Multi-Agent Systems Modeled by Epistemic Process Calculus

Hui Zong, Zining Cao, Qingliang Yu, Yuan Zhou
article en

Abstract

This paper presents a comprehensive framework for modeling and verifying multi-agent systems. The paper introduce an Epistemic Process Calculus for multi-agent systems, which formalizes the syntax and semantics to capture the essential features of agent behavior interactions and epistemic states. Building upon this calculus, we propose ATLE, an extension of Alternating-time Temporal Logic incorporating epistemic operators to express complex properties related to agent epistemic state. To verify ATLE specifications, this paper presents a model checking algorithm that systematically explores the state space of a multi-agent system and evaluates the satisfaction of the specified properties. Finally, a case study is given to demonstrate the method.

International Journal of Software Engineering & ApplicationsVol. 16(1)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 96%
Business Process Modeling and Analysis
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Model Checking for Multi-Agent Systems Modeled by Epistemic Process Calculus — Hui Zong, Zining Cao, et al. · International Journal of Software Engineering & Applications (2025) | TGRS Research Map | TGRS