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Computational models of analogy-making

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In L. Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group. pp. 1--113 (2003)

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  1. Resources for Research on Analogy: A Multi-disciplinary Guide.Marcello Guarini, Amy Butchart, Paul Simard Smith & Andrei Moldovan - 2009 - Informal Logic 29 (2):84-197.
    Work on analogy has been done from a number of disciplinary perspectives throughout the history of Western thought. This work is a multidisciplinary guide to theorizing about analogy. It contains 1,406 references, primarily to journal articles and monographs, and primarily to English language material. classical through to contemporary sources are included. The work is classified into eight different sections (with a number of subsections). A brief introduction to each section is provided. Keywords and key expressions of importance to research on (...)
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  • Relations, Objects, and the Composition of Analogies.Dedre Gentner & Kenneth J. Kurtz - 2006 - Cognitive Science 30 (4):609-642.
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  • Developing structured representations.Leonidas A. A. Doumas & Lindsey E. Richland - 2008 - Behavioral and Brain Sciences 31 (4):384-385.
    Leech et al.'s model proposes representing relations as primed transformations rather than as structured representations (explicit representations of relations and their roles dynamically bound to fillers). However, this renders the model unable to explain several developmental trends (including relational integration and all changes not attributable to growth in relational knowledge). We suggest looking to an alternative computational model that learns structured representations from examples.
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  • Bootstrapping the Mind: Analogical Processes and Symbol Systems.Dedre Gentner - 2010 - Cognitive Science 34 (5):752-775.
    Human cognition is striking in its brilliance and its adaptability. How do we get that way? How do we move from the nearly helpless state of infants to the cognitive proficiency that characterizes adults? In this paper I argue, first, that analogical ability is the key factor in our prodigious capacity, and, second, that possession of a symbol system is crucial to the full expression of analogical ability.
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  • Analogy as relational priming: The challenge of self-reflection.Andrea Cheshire, Linden J. Ball & Charlie N. Lewis - 2008 - Behavioral and Brain Sciences 31 (4):381-382.
    Despite its strengths, Leech et al.'s model fails to address the important benefits that derive from self-explanation and task feedback in analogical reasoning development. These components encourage explicit, self-reflective processes that do not necessarily link to knowledge accretion. We wonder, therefore, what mechanisms can be included within a connectionist framework to model self-reflective involvement and its beneficial consequences.
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  • Integral Biomathics Reloaded: 2015.Plamen L. Simeonov & Ron Cottam - forthcoming - Journal Progress in Biophysics and Molecular Biology 119 (2).
    An updated survey of the research scope in Integral Biomathics.
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