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Artificial Intelligence and Symbolic Computation

Overview of attention for book
Cover of 'Artificial Intelligence and Symbolic Computation'

Table of Contents

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    Book Overview
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    Chapter 1 The Algorithmization of Physics: Math Between Science and Engineering
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    Chapter 2 Finite Algebras and AI: From Matrix Semantics to Stochastic Local Search
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    Chapter 3 Proof Search in Minimal Logic
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    Chapter 4 Planning and Patching Proof
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    Chapter 5 A Paraconsistent Higher Order Logic
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    Chapter 6 Abstraction Within Partial Deduction for Linear Logic
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    Chapter 7 A Decision Procedure for Equality Logic with Uninterpreted Functions
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    Chapter 8 Generic Hermitian Quantifier Elimination
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    Chapter 9 Extending Finite Model Searching with Congruence Closure Computation
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    Chapter 10 On the Combination of Congruence Closure and Completion
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    Chapter 11 Combination of Nonlinear Terms in Interval Constraint Satisfaction Techniques
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    Chapter 12 Proving and Constraint Solving in Computational Origami
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    Chapter 13 An Evolutionary Local Search Method for Incremental Satisfiability
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    Chapter 14 Solving Equations Involving Sequence Variables and Sequence Functions
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    Chapter 15 Verified Computer Algebra in Acl2
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    Chapter 16 Polynomial Interpretations with Negative Coefficients
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    Chapter 17 New Developments in Symmetry Breaking in Search Using Computational Group Theory
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    Chapter 18 Recognition of Whitehead-Minimal Elements in Free Groups of Large Ranks
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    Chapter 19 Four Approaches to Automated Reasoning with Differential Algebraic Structures
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    Chapter 20 Algorithm-Supported Mathematical Theory Exploration: A Personal View and Strategy
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    Chapter 21 An Expert System on Detection, Evaluation and Treatment of Hypertension
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    Chapter 22 Two Revision Methods Based on Constraints: Application to a Flooding Problem
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    Chapter 23 Abstraction-Driven Verification of Array Programs
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    Chapter 24 Singularities in Qualitative Reasoning
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    Chapter 25 From a Computer Algebra Library to a System with an Equational Prover
Attention for Chapter 6: Abstraction Within Partial Deduction for Linear Logic
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Citations

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Chapter title
Abstraction Within Partial Deduction for Linear Logic
Chapter number 6
Book title
Artificial Intelligence and Symbolic Computation
Published by
Springer, Berlin, Heidelberg, September 2004
DOI 10.1007/978-3-540-30210-0_6
Book ISBNs
978-3-54-023212-4, 978-3-54-030210-0
Authors

Peep Küngas, Küngas, Peep

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Psychology 1 100%

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