Logic for Learning

Logic for Learning

John W. Lloyd

65,02 €
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Editorial:
Springer Nature B.V.
Año de edición:
2003
ISBN:
9783540420279

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This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those interested in computational logic, it provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. For those interested in machine learning, the book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.

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