An intelligent project lifecycle data mart-based decision support system

Houari, N.; Far, Behrouz H.

doi:10.1109/ccece.2004.1345217

Cited by 6 publications

(2 citation statements)

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“…Intelligent software agents and socialability of multiagent systems (MAS) seem well suited to knowledge level KM solutions. Software agents not only can get involved in complex interactions [17] but also offer implementing sophisticated helper tools such as search, scheduling [18], negotiating [17,20] and decision support [19,22], knowledge capture and discovery [24,21,23].…”

Section: Introductionmentioning

confidence: 99%

Automated ontology evolution in a multi-agent system

Afsharchi

Far

2006

Proceedings of the 1st International Conference on Scalable Information Systems - InfoScale '06

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This research addresses the formation of new concepts and their corresponding ontology in a multiagent system where individual autonomous agents try to learn new concepts by consulting several other agents. In this research individual agents create and learn their distinct conceptualization and rather than a commitment to a common ontology they use their own ontologies. In this paper multi-agent supervised learning of concepts among individual agents with diverse conceptualization and different ontologies is introduced and demonstrated through an intuitive example in which supervisors are other agents rather than a human.

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Section: Introductionmentioning

confidence: 99%

Automated ontology evolution in a multi-agent system

Afsharchi

Far

2006

Proceedings of the 1st International Conference on Scalable Information Systems - InfoScale '06

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“…Ai et al presented a distributed marketing decision support system (Ai et al 2004). Houari and Far presented a novel architecture based on multi-agents technology to 224 support information and knowledge extraction over distributed data sources in order to use them in the decision making process (Houari and Far 2004). Zhang and Xi present a decision support system framework for the partner choice and measurement (Zhang and Xi 2005).…”

Section: State Of the Artmentioning

confidence: 99%