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Artificial Intelligence and Symbolic Computation

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Cover of 'Artificial Intelligence and Symbolic Computation'

Table of Contents

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    Book Overview
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    Chapter 1 Interactive Mathematical Documents
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    Chapter 2 Algebra and Geometry
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    Chapter 3 An Inductive Inference System and Its Rationality
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    Chapter 4 Semantic Guidance for Saturation Provers
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    Chapter 5 Labeled @-Calculus: Formalism for Time-Concerned Human Factors
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    Chapter 6 Enhanced Theorem Reuse by Partial Theory Inclusions
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    Chapter 7 Extension of First-Order Theories into Trees
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    Chapter 8 The Confluence Problem for Flat TRSs
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    Chapter 9 Some Properties of Triangular Sets and Improvement Upon Algorithm CharSer
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    Chapter 10 A New Definition for Passivity and Its Relation to Coherence
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    Chapter 11 A Full System of Invariants for Third-Order Linear Partial Differential Operators
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    Chapter 12 An Algorithm for Computing the Complete Root Classification of a Parametric Polynomial
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    Chapter 13 Quantifier Elimination for Quartics
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    Chapter 14 On the Mixed Cayley-Sylvester Resultant Matrix
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    Chapter 15 Implicitization of Rational Curves
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    Chapter 16 Operator Calculus Approach to Solving Analytic Systems
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    Chapter 17 Solving Dynamic Geometric Constraints Involving Inequalities
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    Chapter 18 Constraints for Continuous Reachability in the Verification of Hybrid Systems
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    Chapter 19 Using Hajós’ Construction to Generate Hard Graph 3-Colorability Instances
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    Chapter 20 Finding Relations Among Linear Constraints
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    Chapter 21 A Search Engine for Mathematical Formulae
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    Chapter 22 Hierarchical Representations with Signatures for Large Expression Management
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Title
Artificial Intelligence and Symbolic Computation
Published by
Springer Berlin Heidelberg, September 2006
DOI 10.1007/11856290
ISBNs
978-3-54-039728-1, 978-3-54-039730-4
Editors

Calmet, Jacques, Ida, Tetsuo, Wang, Dongming