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 fiction, using SNePS. We briefly survey four philosophical ontological theories of fiction and sketch an epistemological theory of fiction (...) using a story operator and rules for allowing propositions to migrate into and out of story spaces. (shrink)

The author defends John R. Searle's Chinese Room argument against a particular objection made by William J. Rapaport called the Korean Room. Foundational issues such as the relationship of strong AI to human mentality and the adequacy of the Turing Test are discussed. Through undertaking a Gedankenexperiment similar to Searle's but which meets new specifications given by Rapaport for an AI system, the author argues that Rapaport's objection to Searle does not stand and that Rapaport's arguments seem convincing only because (...) they assume the foundations of strong AI at the outset. (shrink)