Concepts, challenges, and prospects on Multiagent Data Warehousing (MADWH) and Multiagent Data Mining (MADM)
نویسنده
چکیده
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.
منابع مشابه
A multiagent data warehousing (MADWH) and multiagent data mining (MADM) approach to brain modeling and neurofuzzy control
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عنوان ژورنال:
- IJIIDS
دوره 2 شماره
صفحات -
تاریخ انتشار 2008