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Derivational analogy: a theory of reconstructive problem solving and expertise acquisition
Jaime G. Carbonell
- pp 727-738
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TLDR
Derivational analogy, a method of solving problems based on the transfer of past experience to new problem situations, is discussed in the context of other general approaches to problem solving.Abstract:
: Derivational analogy, a method of solving problems based on the transfer of past experience to new problem situations, is discussed in the context of other general approaches to problem solving. The experience transfer process consists of recreating lines of reasoning, including decision sequences and accompanying justifications, that proved effective in solving particular problems requiring similar initial analysis. The role of derivational analogy in case-based reasoning and in automated expertise acquisition is discussed. (Author)read more
Citations
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Journal ArticleDOI
Case-based reasoning: foundational issues, methodological variations, and system approaches
Agnar Aamodt,Enric Plaza +1 more
TL;DR: An overview of the foundational issues related to case-based reasoning is given, some of the leading methodological approaches within the field are described, and the current state of the field is exemplified through pointers to some systems.
Journal ArticleDOI
Analogical mapping by constraint satisfaction
Keith J. Holyoak,Paul Thagard +1 more
TL;DR: A theory of analogical mapping between source and target analogs based upon interacting structural, semantic, and pragmatic constraints is proposed here and is able to account for empirical findings regarding the impact of consistency and similarity on human processing of analogies.
Journal ArticleDOI
Dual space search during scientific reasoning
David Klahr,Kevin Dunbar +1 more
TL;DR: A general model of Scientific Discovery as Dual Search (SDDS) is presented that shows how search in two problem spaces (an hypothesis space and an experiment space) shapes hypothesis generation, experimental design, and the evaluation of hypotheses.
Journal ArticleDOI
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.
Journal ArticleDOI
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.
References
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Book
Human Problem Solving
TL;DR: The aim of the book is to advance the understanding of how humans think by putting forth a theory of human problem solving, along with a body of empirical evidence that permits assessment of the theory.
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Principles of Artificial Intelligence
TL;DR: This classic introduction to artificial intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval.
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Strips: A new approach to the application of theorem proving to problem solving
Richard Fikes,Nils J. Nilsson +1 more
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Planning in a hierarchy of abstraction spaces
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