Graded Belief Revision for Jason: A Rule-Based Approach
| Autor: | Dima El Zein, Célia da Costa Pereira |
|---|---|
| Přispěvatelé: | Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA) |
| Rok vydání: | 2020 |
| Předmět: |
Dependency (UML)
Computer science business.industry Graded beliefs Multi-agent system Rule-based system Belief revision computer.software_genre Preference Rule-Based agents Belief Revision Intelligent agent Added value [INFO.EIAH]Computer Science [cs]/Technology for Human Learning Artificial intelligence Jason business Set (psychology) computer |
| Zdroj: | WI/IAT International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '20) International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '20), Dec 2020, Melbourne (virtual ), Australia |
| DOI: | 10.1109/wiiat50758.2020.00032 |
| Popis: | International audience; Jason is a Java-based platform for the development of multi-agent systems, which is a particular implementation of AgentSpeak. While some theoretical proposals have been put forward to add to Jason both belief revision and the preference order on the agent's beliefs, the reasoning on the practical way to integrate such proposals as well as their implementation have not been considered. This paper aims to fill those gaps, by adding the concept of graded beliefs and making use of Jason customisation features to implement reasoning and belief revision capabilities. The resulting approach allows agents to reason about the belief's degree of certainty, track dependency between them, and revise the belief set accordingly. A running example will illustrate the presented work and highlight its added value. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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