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Commonsense Knowledge, Commonsense Reasoning Gyorgy Turan, UIC Mathematics, Statistics and Computer Science (Click name for speaker's biography) Providing computers with commonsense knowledge,and making them capable of commonsense reasoning is a `holy grail' of artificial intelligence; even partial solutions would have practical applications. One problem is to develop knowledge bases of commonsense knowledge. A methodology for such applications requires techniques for updating knowledge and learning. An outline is given of our work withMarina Langlois, Bob Sloan and Balazs Szorenyi towards such a methodology. Originating in philosophy, there are many mathematical approaches to model aspects of human reasoning. It is a curious fact that while a goal is to make reasoning more efficient, reasoning in these logics is often even harder than in the classical case. The connection between human reasoning and logic is open to debate. The recent book `Human Reasoning and Cognitive Science', written by a cognitive scientist, Keith Stenning, and a logician, Michiel van Lambalgen, provides an interesting new approach, which connects studies in cognitive science with logics. The talk will give examples illustrating these issues. No previous knowledge of logic is assumed.
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