Title of article
Intelligent Resource Exchanges: Solutions and Pathways in a Workforce Allocation Problem
Author/Authors
Virginas, Botond British Telecom - Intelligent Systems Lab, UK , Ursu, Marian University of London - Goldsmith College, UK , Tsang, Edward University of Essex, UK , Owusu, Gilbert British Telecom - Intelligent Systems Lab, UK , Voudouris, Chris British Telecom - Intelligent Systems Lab, UK
From page
2343
To page
2358
Abstract
This 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.
Keywords
multi , agent planning , e , business agents , case studies and reports on deployments
Journal title
Journal of J.UCS (Journal of Universal Computer Science)
Journal title
Journal of J.UCS (Journal of Universal Computer Science)
Record number
2661387
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