Agent-Oriented probabilistic logic programming with fuzzy constraints

Authors:
Jie Wang;Chunnian Liu
Affiliations:
Key Laboratory of Multimedia and Intelligent Software, Beijing University of Technology, Beijing, P.R. China;Key Laboratory of Multimedia and Intelligent Software, Beijing University of Technology, Beijing, P.R. China
Venue:
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Year:
2006

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Abstract

Agent-based computing is an important research area. Agent and multi-agent system can be used to model real systems in complex and dynamic environments. However, most of them assume that there is no uncertain and fuzzy information in an agent’s mental state and environment. In this paper, we remove this unrealistic assumption and propose a new agent programming language which allows agent programs to effectively perform with fuzzy knowledge under uncertain environment, and to dynamically adapt with changes of the environment. This language presents a new and practical approach to solve fuzzy constraints in uncertain environment which consists of three components for programming agent: uncertain belief updating, goal selection and revision and uncertain practical reasoning.