Title: Concepts, challenges, and prospects on Multiagent Data Warehousing (MADWH) and Multiagent Data Mining (MADM)

Authors: Wen-Ran Zhang

Addresses: Department of Computer Science, Georgia Southern University, USA

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.

Keywords: data warehousing; data mining; multidimensional agent-orientated brain modelling; MADWH; MADM; neural agents; agent laws; agentisation; agent association; concepts; challenges; prospects; multi-agent systems; MAS; agent-based systems; biological systems.

DOI: 10.1504/IJIIDS.2008.017247

International Journal of Intelligent Information and Database Systems, 2008 Vol.2 No.1, pp.106 - 124

Published online: 20 Feb 2008 *

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