Predication, fiction, and artificial intelligence

Topoi 10 (1):79-111 (1991)
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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DOI 10.1007/BF00136025
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References found in this work BETA
David Lewis (1978). Truth in Fiction. American Philosophical Quarterly 15 (1):37--46.

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Citations of this work BETA
Diane Proudfoot (2006). Possible Worlds Semantics and Fiction. Journal of Philosophical Logic 35 (1):9 - 40.

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