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Case-based reasoning; Foundational issues, methodological variations, and system approaches (1994)

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by Agnar Aamodt , Enric Plaza
Venue:AI COMMUNICATIONS
Citations:855 - 25 self
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BibTeX

@ARTICLE{Aamodt94case-basedreasoning;,
    author = {Agnar Aamodt and Enric Plaza},
    title = {Case-based reasoning; Foundational issues, methodological variations, and system approaches},
    journal = {AI COMMUNICATIONS},
    year = {1994},
    volume = {7},
    number = {1},
    pages = {39--59}
}

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Abstract

Case-based reasoning is a recent approach to problem solving and learning that has got a lot of attention over the last few years. Originating in the US, the basic idea and underlying theories have spread to other continents, and we are now within a period of highly active research in case-based reasoning in Europe, as well. This paper gives an overview of the foundational issues related to case- based reasoning, describes some of the leading methodo- logical approaches within the field, and exemplifies the current state through pointers to some systems. Initially, a general framework is defined, to which the subsequent descriptions and discussions will refer. The framework is influenced by recent methodologies for knowledge level descriptions of intelligent systems. The methods for case retrieval, reuse, solution testing, and learning are summa-rized, and their actual realization is discussed in the light of a few example systems that represent different CBR approaches. We also discuss the role of case-based methods as one type of reasoning and learning method within an integrated system architecture.

Keyphrases

case-based reasoning    foundational issue    methodological variation    system approach    problem solving    recent methodology    intelligent system    integrated system architecture    case retrieval    last year    solution testing    methodo logical approach    basic idea    knowledge level description    active research    general framework    actual realization    case-based method    recent approach    underlying theory    different cbr approach    current state    subsequent description    example system   

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