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Article
Concepts, challenges, and prospects on Multiagent Data Warehousing (MADWH) and Multiagent Data Mining (MADM)
International Journal of Intelligent Information and Database Systems
  • Wen-Ran Zhang, Georgia Southern University
Document Type
Article
Publication Date
1-1-2008
DOI
10.1504/IJIIDS.2008.017247
Disciplines
Abstract
Multiagent Data Warehousing (MADWH) and Multiagent Data Mining (MADM) presents a multidimensional agent-oriented approach for brain modelling and decision making based on the hypothesis that a brain system consists of a society of semiautonomous neural agents and full autonomy is the result of coordination of semiautonomous functionalities. The agent-oriented approach leads to the following concepts, challenges, and prospects: agent laws, agentisation, agent discovery, law discovery, self-organisation, and reorganisation; mining agent association rules in 1st-order logic; modelling full autonomy as the result of coordination of semiautonomous agents; modelling evolving processes like growing and aging; modelling healthy states as well as unhealthy states of biological systems.
Citation Information
Wen-Ran Zhang. "Concepts, challenges, and prospects on Multiagent Data Warehousing (MADWH) and Multiagent Data Mining (MADM)" International Journal of Intelligent Information and Database Systems Vol. 2 Iss. 1 (2008) p. 106 - 124
Available at: http://works.bepress.com/wen-ran_zhang/27/