A Multi-Agent Approach to Collaborate Knowledge Production

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Author(s): Juan Manuel Dodero (Universidad Carlos III de Madrid, Spain), Paloma Diaz (Universidad Carlos III de Madrid, Spain)and Ignacio Aedo (Universidad Carlos III de Madrid, Spain)
Copyright: 2008
Pages: 11
Source title: Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59904-951-9.ch032

Keywords: Data Mining and Databases / Data Warehousing / Information Science Reference / Library & Information Science

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Abstract

Knowledge creation or production in a distributed knowledge management system is a collaborative task that needs to be coordinated. A multi-agent architecture for collaborative knowledge production tasks is introduced, where knowledge-producing agents are arranged into knowledge domains or marts, and where a distributed interaction protocol is used to consolidate knowledge that is produced in a mart. Knowledge consolidated in a given mart can, in turn, be negotiated in higher-level foreign marts. As an evaluation scenario, the proposed architecture and protocol are applied to coordinate the creation of learning objects by a distributed group of instructional designers.

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A Multi-Agent Approach to Collaborate Knowledge Production

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