Using Agent Similarities in Business Rules for the Supply Chain
Abstract
The continuing globalization imposes new challenges to the "e-supply chain", among them the need of agents to react properly in case of cooperation or otherwise, according to environment changes. Our framework aims to find agents with similar business rules, with environment perception and its influence represented by causal relations. Then we try to find the unique strategy for these appropriates agents. The causal links are translated in RuleML derivation rules, to be used in decision making regarding other agents for long term business relationship. The framework is aimed to distinguish between public knowledge regarding the business activity available on the Semantic Web, and private knowledge, known to company insiders.
Full citation
"Using Agent Similarities in Business Rules for the Supply Chain", Ioan Alfred Letia and Adrian Groza, The 8th IEEE International Conference on Intelligent Engineering Systems (INES '04), Cluj-Napoca, Romania pp. 68-72, DOI: , 2004.