Managing Multiple Case Bases: Dimensions and Issues
نویسندگان
چکیده
Case-based reasoning (CBR) models the process of reasoning from specific experiences acquired by an agent, and contained in the agent’s case-base. When multiple agents acquire cases, opportunities arise for sharing their case-bases, with accompanying issues for how to apply others’ experiences effectively. This paper examines issues for multi-casebase reasoning (MCBR), the reasoning process needed for a CBR system to exploit external case-bases reflecting similar but different tasks and task environments. The paper summarizes the component processes required, the dimensions along which these processes may differ, and some of the key research issues that must be addressed for successful MCBR systems. It closes with a perspective on the relationships of case-based reasoning and multi-case-base reasoning, examining the analogy between reasoning about cases in CBR and case-bases in MCBR.
منابع مشابه
When Two Case Bases Are Better than One: Exploiting Multiple Case Bases
Much current CBR research focuses on how to compact, rene, and augment the contents of individual case bases, in order to distill needed information into a single concise and authoritative source. However, as deployed case-based reasoning systems become increasingly prevalent, opportunities will arise for supplementing local case bases on demand, by drawing on the case bases of other CBR system...
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