Intelligent Resource Exchanges: Solutions and Pathways in a Workforce Allocation Problem

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dc.creatorVirginas,Botond
dc.creatorUrsu,Marian
dc.creatorTsang,Edward
dc.creatorOwusu,Gilbert
dc.creatorVoudouris,Chris
dc.date2008
dc.date.accessioned2024-02-06T12:56:52Z
dc.date.available2024-02-06T12:56:52Z
dc.descriptionThis paper considers the problem of resource allocation in the service industries approached from an agent-based perspective. Agent technologies seem to be well suited to this domain by providing a distributed environment, are network centric, semi-autonomous and collaborative and can communicate with each other to achieve better optimisation with little human intervention. The paper describes the context of this solution, a general power model and several pathways with corresponding example implementations with results and discussion The novelty of the solution resides in the fact that it is a natural and versatile formulation that combines an agent-based model with various artificial intelligence and operations research techniques such as rule-based expressions of allocation strategies and multi-criteria optimisation expressions of allocation objectives.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-014-14-2343
dc.identifierhttps://lib.jucs.org/article/29146/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9829
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 14(14): 2343-2358
dc.subjectmulti-agent planning
dc.subjecte-business agents
dc.subjectcase studies and reports on deployments
dc.titleIntelligent Resource Exchanges: Solutions and Pathways in a Workforce Allocation Problem
dc.typeResearch Article
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