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  1. Belief ascription, metaphor, and intensional identification.Afzal Ballim, Yorick Wilks & John Barnden - 1991 - Cognitive Science 15 (1):133-171.
    This article discusses the extension of ViewGen, an algorithm derived for belief ascription, to the areas of intensional object identification and metaphor. ViewGen represents the beliefs of agents as explicit, partitioned proposition sets known as environments. Environments are convenient, even essential, for addressing important pragmatic issues of reasoning. The article concentrates on showing that the transformation of information in metaphors, intensional object identification, and ordinary, nonmetaphorical belief ascription can all be seen as different manifestations of a single environment-amalgamation process. The (...)
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  • Analogical Mapping by Constraint Satisfaction.Keith J. Holyoak & Paul Thagard - 1989 - Cognitive Science 13 (3):295-355.
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  • Metaphor Aptness and Conventionality: A Processing Fluency Account.Paul H. Thibodeau & Frank H. Durgin - 2011 - Metaphor and Symbol 26 (3):206-226.
    Conventionality and aptness are two dimensions of metaphorical sentences thought to play an important role in determining how quick and easy it is to process a metaphor. Conventionality reflects the familiarity of a metaphor whereas aptness reflects the degree to which a metaphor vehicle captures important features of a metaphor topic. In recent years it has become clear that operationalizing these two constructs is not as simple as asking naïve raters for subjective judgments. It has been found that ratings of (...)
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  • A theory of abstraction.Fausto Giunchiglia & Toby Walsh - 1992 - Artificial Intelligence 57 (2-3):323-389.
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  • Empirical Constraints on Computational Theories of Metaphor: Comments on Indurkhya.Richard J. Gerrig - 1989 - Cognitive Science 13 (2):235-241.
    Empirical analyses have provided some important constraints for computational theories of metaphor. Three such constraints relate to (1) the similar processing time for literal and metaphorical language, (2) the time‐limited processing of many metaphors, and (3) the dissociation of metaphor comprehension and appreciation. Indurkhya's (1986, 1987) model is discussed with respect to these issues.
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  • Computer Understanding of Conventional Metaphoric Language.James H. Martin - 1992 - Cognitive Science 16 (2):233-270.
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