Rippling: Meta-Level Guidance for Mathematical Reasoning (Cambridge Tracts in Theoretical Computer Science, Series Number 56)

Bundy, Alan,Basin, David,Hutter, Dieter,Ireland, Andrew

ISBN 10: 052183449X ISBN 13: 9780521834490
Published by Cambridge University Press, 2005
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Rippling is a radically new technique for the automation of mathematical reasoning. It is widely applicable whenever a goal is to be proved from one or more syntactically similar givens. It was originally developed for inductive proofs, where the goal was the induction conclusion and the givens were the induction hypotheses. It has proved to be applicable to a much wider class of tasks, from summing series via analysis to general equational reasoning. The application to induction has especially important practical implications in the building of dependable IT systems, and provides solutions to issues such as the problem of combinatorial explosion. Rippling is the first of many new search control techniques based on formula annotation; some additional annotated reasoning techniques are also described here. This systematic and comprehensive introduction to rippling, and to the wider subject of automated inductive theorem proving, will be welcomed by researchers and graduate students alike.

Book Description: The new technique of rippling and its use in automated reasoning are described here. The method uses heuristics and search to help address the problem of combinatorial explosion. The book provides a unique, systematic and comprehensive introduction to this and to the wider subject of automated inductive theorem proving.

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Title: Rippling: Meta-Level Guidance for ...
Publisher: Cambridge University Press
Publication Date: 2005
Binding: hardcover
Condition: Very Good

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Hardcover. Condition: new. Hardcover. Rippling is a radically new technique for the automation of mathematical reasoning. It is widely applicable whenever a goal is to be proved from one or more syntactically similar givens. It was originally developed for inductive proofs, where the goal was the induction conclusion and the givens were the induction hypotheses. It has proved to be applicable to a much wider class of tasks, from summing series via analysis to general equational reasoning. The application to induction has especially important practical implications in the building of dependable IT systems, and provides solutions to issues such as the problem of combinatorial explosion. Rippling is the first of many new search control techniques based on formula annotation; some additional annotated reasoning techniques are also described here. This systematic and comprehensive introduction to rippling, and to the wider subject of automated inductive theorem proving, will be welcomed by researchers and graduate students alike. The automation of mathematical reasoning has been an important topic of research almost since computers were invented. The new technique of rippling, described here for the first time in book form, is designed to be an approach to mathematical reasoning that takes into account ideas of heuristics and searching. Rippling addresses the problem of combinatorial explosion which has proved a huge obstacle in the past, and the book offers a systematic and comprehensive introduction to this and to the wider subject of automated inductive theorem proving. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521834490

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Hardcover. Condition: new. Hardcover. Rippling is a radically new technique for the automation of mathematical reasoning. It is widely applicable whenever a goal is to be proved from one or more syntactically similar givens. It was originally developed for inductive proofs, where the goal was the induction conclusion and the givens were the induction hypotheses. It has proved to be applicable to a much wider class of tasks, from summing series via analysis to general equational reasoning. The application to induction has especially important practical implications in the building of dependable IT systems, and provides solutions to issues such as the problem of combinatorial explosion. Rippling is the first of many new search control techniques based on formula annotation; some additional annotated reasoning techniques are also described here. This systematic and comprehensive introduction to rippling, and to the wider subject of automated inductive theorem proving, will be welcomed by researchers and graduate students alike. The automation of mathematical reasoning has been an important topic of research almost since computers were invented. The new technique of rippling, described here for the first time in book form, is designed to be an approach to mathematical reasoning that takes into account ideas of heuristics and searching. Rippling addresses the problem of combinatorial explosion which has proved a huge obstacle in the past, and the book offers a systematic and comprehensive introduction to this and to the wider subject of automated inductive theorem proving. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521834490

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Andrew Ireland Dieter Hutter David Basin Alan Bundy
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The new technique of rippling and its use in automated reasoning are described here. The method uses heuristics and search to help address the problem of combinatorial explosion. The book provides a unique, systematic and comprehensive introduction to this . Seller Inventory # 594763799

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