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A complexity based approach for solving Hofstadter's analogies

Pierre-Alexandre Murena, Jean-Louis Dessalles, Antoine Cornuéjols
References
International Conference on Case-Based Reasoning (ICCBR 2017), Trondheim, Nor, July 2017, pp. 53--62
Abstract

Analogical reasoning is still a difficult task for machines. In this paper, we consider the problem of analogical reasoning and assume that the relevance of a solution can be measured by the complexity of the analogy. This hypothesis is tested in a basic alphanumeric micro-world.

Keywords
Category
Paper in proceedings
Research Area(s)
Computer Science/Artificial Intelligence
Cognitive science/Computer science
Cognitive science/Linguistics
Identifier(s)
Bibliographic key jld-17070302
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on july 06, 2017 by Jean-Louis Dessalles


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