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Title: Towards a Knowledge-based Framework for Agents Interacting in the Semantic Web
Author(s): K. Kravari, E. Kontopoulos, N. Bassiliades.
Availability: Click here to download the PDF (Acrobat Reader) file (4 pages).
Keywords: intelligent agents, multi-agent system, defeasible reasoning, brokering agents, agent negotiation.
Appeared in: 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'09), 15-18 September, Vol. 2, pp. 482-485, Milan, Italy, 2009.
Abstract: The Semantic Web aims at making Web content un-derstandable both for people and machines. Although intelligent agents can assist towards this vision, they do not have to conform to a common rule or logic paradigm. This paper reports on the first steps towards a framework for interoperating knowledge-based intel-ligent agents. A multi-agent system was extended with defeasible reasoning and a reusable agent model is proposed for customizable agents, equipped with a knowledge base and a Jess rule engine. Two use case scenarios display the integration of these technologies.
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1 Ransi, Gurdeep Singh, "A Hybrid Artificial Reputation Model", MSc Thesis, School of Computer Science, University of Windsor, Ontario, Canada, Winter 2014.
2 Ransi, G. S., & Kobti, Z. (2014). A Hybrid Artificial Reputation Model Involving Interaction Trust, Witness Information and the Trust Model to Calculate the Trust Value of Service Providers. Axioms, 3(1), 50-63.