Concepts, challenges, and prospects on Multiagent Data Warehousing (MADWH) and Multiagent Data Mining (MADM). (21st February 2008)

• Record Type: Journal Article
• Authors: Zhang, Wen-Ran
• Is Part Of: International journal of intelligent information and database systems. Volume 2:Number 1(2008)
• Page Start: 106
• Page End: 124
• Publication Date: 2008-02-21
• Subjects: 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; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

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.