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.
International Journal of Intelligent Information and Database Systems, 2008 Vol.2 No.1, pp.106 - 124
Published online: 20 Feb 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article