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A Short Introduction to Computational Trends in Analogical Reasoning

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Computational Approaches to Analogical Reasoning: Current Trends

Part of the book series: Studies in Computational Intelligence ((SCI,volume 548))

Abstract

For a long time, identifying analogies and reasoning by analogy have been recognized as major cognitive capabilities of human mind. As such, analogy has been widely studied and discussed, in particular by philosophers. More recently, it has attracted a lot of attention in cognitive sciences, and in computer sciences, especially artificial intelligence. The aim of this volume is to report on current advances regarding the computational aspects of analogy. Before presenting the structure and the contents of the book, we provide a short historical account of researches on analogy, focusing on a modeling perspective.

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Notes

  1. 1.

    Indeed, it would be fair to mention at least the Chinese philosopher, Meng Tzeu (Mencius, in English), who lived in the same century as Aristotle.

  2. 2.

    However, in a previous book [178] (pp. 97–99), Piaget informally investigates a similar idea, even using an example of linguistic analogical proportion, still without explicitly mentioning analogy.

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Prade, H., Richard, G. (2014). A Short Introduction to Computational Trends in Analogical Reasoning. In: Prade, H., Richard, G. (eds) Computational Approaches to Analogical Reasoning: Current Trends. Studies in Computational Intelligence, vol 548. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54516-0_1

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