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Solving Higher-Order Equations From Logic to Programming [Hardcover]

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  • Category: Books (Computers)
  • Author:  Prehofer, Christian
  • Author:  Prehofer, Christian
  • ISBN-10:  0817640320
  • ISBN-10:  0817640320
  • ISBN-13:  9780817640323
  • ISBN-13:  9780817640323
  • Publisher:  Birkh?user
  • Publisher:  Birkh?user
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Feb-1997
  • Pub Date:  01-Feb-1997
  • SKU:  0817640320-11-SPRI
  • SKU:  0817640320-11-SPRI
  • Item ID: 100887170
  • List Price: $109.99
  • Seller: ShopSpell
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  • Delivery by: Jul 04 to Jul 06
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This monograph develops techniques for equational reasoning in higher-order logic. Due to its expressiveness, higher-order logic is used for specification and verification of hardware, software, and mathematics. In these applica? tions, higher-order logic provides the necessary level of abstraction for con? cise and natural formulations. The main assets of higher-order logic are quan? tification over functions or predicates and its abstraction mechanism. These allow one to represent quantification in formulas and other variable-binding constructs. In this book, we focus on equational logic as a fundamental and natural concept in computer science and mathematics. We present calculi for equa? tional reasoning modulo higher-order equations presented as rewrite rules. This is followed by a systematic development from general equational rea? soning towards effective calculi for declarative programming in higher-order logic and A-calculus. This aims at integrating and generalizing declarative programming models such as functional and logic programming. In these two prominent declarative computation models we can view a program as a logical theory and a computation as a deduction.This monograph develops techniques for equational reasoning in higher-order logic. Due to its expressiveness, higher-order logic is used for specification and verification of hardware, software, and mathematics. In these applica? tions, higher-order logic provides the necessary level of abstraction for con? cise and natural formulations. The main assets of higher-order logic are quan? tification over functions or predicates and its abstraction mechanism. These allow one to represent quantification in formulas and other variable-binding constructs. In this book, we focus on equational logic as a fundamental and natural concept in computer science and mathematics. We present calculi for equa? tional reasoning modulo higher-order equations presented as rewrite rules. This is followed by a systematic l&
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