The design of a semantic web compatible content language for agent communication
| Autor: | Inanc Seylan, Rιza Cenk Erdur |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Computer science
Semantic Web Rule Language business.industry Multi-agent system Multimodal logic Modal logic Ontology language computer.software_genre Semantics Theoretical Computer Science Computational Theory and Mathematics Description logic Artificial Intelligence Control and Systems Engineering Human–computer interaction Artificial intelligence business computer Semantic Web Natural language processing |
| Zdroj: | Expert Systems. 25:268-294 |
| ISSN: | 1468-0394 0266-4720 |
| Popis: | Current standards on agent communication languages explain communication by changes in the mental states of agents. It is rather a striking issue that none of the popular agent middleware adheres to this semantics in a formal way. Therefore, this paper tries to close the gap between agent communication theory and practice by implementing a logic that is capable of representing agents' beliefs and intentions. An interesting property of this language, named , is that it is a hybrid of modal and description logics. Due to its description logic foundation, it can also be used as an ontology definition language. Thus, it is well suited for agents working on the semantic web. In this paper, a sound and complete decision algorithm as well as other reasoning services for the logic are presented. Finally, the application of the language in a multi-agent development framework is discussed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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