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Improving Skills Management using Objectives within a Multi-Agent System

Abstract : Whatever the professional sector of activity, achievements are the results of dedicated processes and skill usage. If a project is successful, the knowledge and know-how that have been used have to be capitalized for a possible use in other projects. However, this is a dynamic process. Skills are always evolving. The issue is how to improve the management of skills to make them more efficient over time. A new approach is proposed to address this problem. It is based on the management of objectives through a multi agent learning system where skills are represented as agents. Being autonomous entities, and having their own learning abilities, skills will enforce project efficiency, capitalizing on past iterations. The key point of our approach is the appropriate exploitation of past objectives to help the user identifying the required skills for the new project.
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https://hal.archives-ouvertes.fr/hal-01163222
Contributor : Olivier Chator <>
Submitted on : Friday, June 12, 2015 - 1:36:20 PM
Last modification on : Monday, April 9, 2018 - 12:20:04 PM
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  • HAL Id : hal-01163222, version 1

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Olivier Chator, Jean-Marc Salotti. Improving Skills Management using Objectives within a Multi-Agent System. The 6th International Conference on Advanced Cognitive Technologies and Applications, May 2014, Venice, Italy. pp.13-18. ⟨hal-01163222⟩

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