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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 ability to common sense to these problems.
This paper presents a logical framework for qualitative reasoning about solid ob, We will present the structure of a first order language L in which the physics of solid of can be described; we will define the semantics of L in terms of a formal model; and we demonstrate the usefulness of L by showing that interesting problems can be 5( qualitatively by inference from plausible axioms expressed in L. The language L is l more expressive and supports much richer inferences than any previous represent scheme in this domain.
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A Logical Framework for Solid Object Physics (Classic Reprint)
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Paperback. Condizione: New. Print on Demand. This book introduces a groundbreaking logical framework for solid object physics. By combining geometrical, temporal, and physical reasoning, the framework enables robust prediction of system behavior over extended time periods. The author demonstrates the framework's power through a series of thought experiments involving dice dropped into funnels of varying shapes and sizes. The experiments reveal how the logical framework can analyze complex interactions and derive generalizable insights, even when dealing with imprecise data and incomplete problem specifications. The work builds on previous AI research in physical reasoning but overcomes limitations in representing complex geometries and simulating extended time periods through differential equations. It advances the field of qualitative reasoning by providing a formal foundation for predicting the behavior of solid objects in a wide range of scenarios. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Codice articolo 9781334260384_0
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo LW-9781334260384
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A Logical Framework for Solid Object Physics Classic Reprint
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo LW-9781334260384
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LOGICAL FRAMEWORK FOR SOLID OB
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Condizione: New. KlappentextrnrnExcerpt from A Logical Framework for Solid Object PhysicsThe 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 probl. Codice articolo 2148127361
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