An Adaptive Reputation Model for VOs
Because Virtual Organisations (VOs) essentially involve cooperating two or more organisations or agents to pursue a common objective, satisfactory cooperation is vital to their success. However, before an agent made the decision to go ahead with the VO, it needs to be confident that the rest of the...
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| creator | Avila-Rosas, Arturo |
| description | Because Virtual Organisations (VOs) essentially involve cooperating two or more organisations or agents to pursue a common objective, satisfactory cooperation is vital to their success. However, before an agent made the decision to go ahead with the VO, it needs to be confident that the rest of the potential partners will be act cooperatively. We show that reputation is a basic ingredient in the formation of VOs. Reputation is computed using an adaptive algorithm, so agents can learn and adapt their reputation models of their partners according to their recent behaviour. Our approach is especially powerful if the agent participates in a VO in which the members can change their behaviour to exploit their partners. The reputation model presented in this paper deals with the questions of deception and fraud that have been ignored in current models of VO formation. |
| doi_str_mv | 10.1007/11550648_18 |
| format | Conference Proceeding |
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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2005, p.204-209 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_17115439 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Potential Partner Reputation Model Reputation System Trust Management Virtual Organisation |
| title | An Adaptive Reputation Model for VOs |
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