Concepts, challenges, and prospects on Multiagent Data Warehousing (MADWH) and Multiagent Data Mining (MADM)
Document Type
Article
Publication Date
1-2008
Publication Title
International Journal of Intelligent Information and Database Systems
DOI
10.1504/IJIIDS.2008.017247
ISSN
1751-5866
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.
Recommended Citation
Zhang, Wen-Ran.
2008.
"Concepts, challenges, and prospects on Multiagent Data Warehousing (MADWH) and Multiagent Data Mining (MADM)."
International Journal of Intelligent Information and Database Systems, 2 (1): 106-124.
doi: 10.1504/IJIIDS.2008.017247
https://digitalcommons.georgiasouthern.edu/compsci-facpubs/19
