K
Kenneth D. Forbus
Researcher at Northwestern University
Publications - 363
Citations - 15664
Kenneth D. Forbus is an academic researcher from Northwestern University. The author has contributed to research in topics: Qualitative reasoning & Analogy. The author has an hindex of 58, co-authored 355 publications receiving 15005 citations. Previous affiliations of Kenneth D. Forbus include Massachusetts Institute of Technology & University of Illinois at Urbana–Champaign.
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Qualitative process theory
TL;DR: This paper describes the basic concepts of qualitative process theory, several different kinds of reasoning that can be performed with them, and discusses its implications for causal reasoning.
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The structure-mapping engine: algorithm and examples
TL;DR: SME has been built to explore Gentner's structure-mapping theory of analogy, and provides a "tool kit" for constructing matching algorithms consistent with this theory, making it a useful component in machine learning systems as well.
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MAC/FAC: A model of similarity-based retrieval☆
TL;DR: A model of similarity-based retrieval that attempts to capture three seemingly contradictory psychological phenomena, showing that structural commonalities are weighed more heavily than surface commonalities in similarity judgments for items in working memory and that MAC/FAC can model patterns of access found in psychological data.
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The roles of similarity in transfer: separating retrievability from inferential soundness
TL;DR: There is a dissociation between the similarity that governs access to long-term memory and that which is used in evaluating and reasoning from a present match, and a model is described, called MAC/FAC, that uses a two-stage similarity retrieval process to model these findings.
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Retrieval, reuse, revision and retention in case-based reasoning
Ramon López de Mántaras,David McSherry,Derek Bridge,David B. Leake,Barry Smyth,Susan Craw,Boi Faltings,Mary Lou Maher,Michael T. Cox,Kenneth D. Forbus,Mark T. Keane,Agnar Aamodt,Ian Watson +12 more
TL;DR: The cognitive science foundations of CBR and its relationship to analogical reasoning are examined, and a representative selection ofCBR research in the past few decades on aspects of retrieval, reuse, revision and retention are reviewed.