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Excerpt from A Logical Framework for Solid Object Physics The second difficulty is that a useful AI system must degrade well under limitations; it must be able to derive useful partial results from incomplete and impi problem specifications. An AI system must be able to produce a crude analysis even in where exact information as to object shapes or parameters is unavailable or unspecified the middle of a design process) or too complex for effective use. An AI system must alt able to reason generically about classes of varying problems. For example, if we bu chicken fence, we want to reason that no chicken, within the range of chicken shapes sizes, can go through the fence; we do not want to repeat the calculation for each indiv chicken. In this kind of qualitative reasoning, human common sense far excels convent computational techniques. Our task is to create an AI system with the same…
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