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• W88334346 abstract "The frame problem is about the things that stay the same and not the things that change. The two are not equivalent. The frame problem is more general than the situation calculus. It seems to appear in just about any temporal notation. When it does appear, it puts a severe strain on the inferential resources available in a deductive framework, even when deduction is extended non-monotonically. On the other hand, it is not obvious that the frame problem is a serious issue outside the context of logic. This chapter discusses inertia problem and ramification problem. The ramification problem is dealt with by selecting a model of the current situation and using it to make inferences. The inertia problem has always looked like an excellent opportunity to apply non-monotonic logic which, as everyone knows by now, is the name given to logical systems in which adding axioms can cause proofs to disappear. Most AI practitioners confront and solve the inertia problem without even noticing it. It would be different if theorem proving played a large role in problem solving, but it does not. The inertia problem is of interest mainly to a fringe group, those who believe that logical analyses are relevant to building knowledge representations. Logic is valuable as a tool for organizing the semantics of knowledge representations. If the inertia problem needs to be solved, then model theory may well prove indispensable to its solution." @default.
• W88334346 created "2016-06-24" @default.
• W88334346 creator A5016161592 @default.
• W88334346 date "1987-01-01" @default.
• W88334346 modified "2023-10-16" @default.
• W88334346 title "AI, Logic, and the Frame Problem" @default.
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• W88334346 doi "https://doi.org/10.1016/b978-0-934613-32-3.50013-7" @default.
• W88334346 hasPublicationYear "1987" @default.
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