Name
Title | ||
|---|---|---|
Intelligent Resource Exchanges: Solutions and Pathways in a Workforce Allocation Problem |
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. |
Year | Venue | Keywords |
|---|---|---|
2008 | JOURNAL OF UNIVERSAL COMPUTER SCIENCE | multi-agent planning,e-business agents,case studies and reports on deployments |
Field | DocType | Volume |
Expression (mathematics),Distributed Computing Environment,Workforce,Computer science,Knowledge management,Implementation,Risk analysis (engineering),Power model,Resource allocation,Novelty,Tertiary sector of the economy,Management science | Journal | 14 |
Issue | ISSN | Citations |
14 | 0948-695X | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Botond Virginas | 1 | 192 | 11.29 |
| Marian Florin Ursu | 2 | 47 | 6.51 |
| Edward P. K. Tsang | 3 | 899 | 87.77 |
| Gilbert Owusu | 4 | 102 | 22.66 |
| Christos Voudouris | 5 | 241 | 16.30 |