Predication, fiction, and artificial intelligence

Topoi 10 (1):79-111 (1991)
Abstract
This paper describes the SNePS knowledge-representation and reasoning system. SNePS is an intensional, propositional, semantic-network processing system used for research in AI. We look at how predication is represented in such a system when it is used for cognitive modeling and natural-language understanding and generation. In particular, we discuss issues in the representation of fictional entities and the representation of propositions from <span class='Hi'>fiction</span>, using SNePS. We briefly survey four philosophical ontological theories of <span class='Hi'>fiction</span> and sketch an epistemological theory of <span class='Hi'>fiction</span> (implemented in SNePS) using a story operator and rules for allowing propositions to migrate into and out of story spaces.
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Hector-Neri Castaneda (1980). Reference, Reality and Perceptual Fields. Proceedings and Addresses of the American Philosophical Association 53 (August):763-823.

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