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dc.contributor.authorShaalan, Khaled F.
dc.contributor.authorRafea, Ahmed A.
dc.contributor.authorEl-Badry, Mona
dc.date.accessioned2023-05-22T04:42:31Z
dc.date.available2023-05-22T04:42:31Z
dc.date.issued2004
dc.identifier.citationShaalan K., El-Badry M., Rafea, A. A Multiagent Approach for Diagnostic Expert Systems via the Internet, Expert Systems with Applications (ESWA): An International Journal, Elsevier Science Ltd, 27(1):1-10, 2004.en_US
dc.identifier.issn0957-4174
dc.identifier.urihttps://bspace.buid.ac.ae/handle/1234/2275
dc.description.abstractIn recent years there has been considerable interest in the possibility of building complex problem solving systems as groups of co-operating experts. This has led us to develop a multiagent expert systems capable to run on servers that can support a large group of users (clients) who communicate with the system over the network. The system provides an architecture to coordinate the behavior of several specific agent types. Two types of agents are involved. One type works on the server computer and the other type works on the client computers. The society of agents in our system consists of expert systems agents (diagnosis agents, and a treatment agent) working on the server side, each of which contains an autonomous knowledge-based system. Typically, agents will have expertise in distinct but related domains. The whole system is capable of solving problems, which require the cumulative expertise of the agent community. Besides to the user interface agent who employs an intelligent data collector, so-called communication model in KADS, working on the client sides. We took the advantage of a successful pre-existing expert systems—developed at CLAES (Central Laboratory for Agricultural Expert Systems, Egypt)—for constructing an architecture of a community of cooperating agents. This paper describes our experience with decomposing the diagnosis expert systems into a multi-agent system. Experiments on a set of test cases from real agricultural expert systems were preformed. The expert systems agents are implemented in Knowledge Representation Object Language (KROL) and JAVA languages using KADS knowledge engineering methodology on the WWW platform.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesExpert Systems with Applications
dc.relation.urihttps://www.sciencedirect.com/science/article/abs/pii/S0957417403002057
dc.subjectmultiagent approachen_US
dc.subjectmultiagent expert systemsen_US
dc.titleA Multiagent Approach for Diagnostic Expert Systems via the Interneten_US
dc.typeArticleen_US
dc.DOIhttps://doi.org/10.1016/j.eswa.2003.12.018


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