There is growing evidence of a convergence between the technical
challenges of developing advanced software systems on the one hand,
and the formal techniques, tools and features evolving from the
logic programming paradigm on the other. This book aims at promoting
such convergence. It provides contributions towards different aspects
of logic programming, which are relevant to the development of complex
and reliable software systems, and describes a number of advanced
applications.
The papers are organised around four main themes. The first part
covers special aspects of the formal foundations of logic programming,
namely operational semantics and correctness issues (including verification
of Prolog compilation). Language extensions and methodology are the
topics of the second section, dealing with modules, types and objects.
Part Three focuses on the paradigm of constraint logic programming
and demonstrates its relevance to combinatorial problems. The fourth
chapter presents a number of applications of logic programming, ranging
from scheduling and robot control to image processing. The publication
closes with an outlook on the challenges and opportunities lying
ahead in the field of logic programming.
1. Introduction 2. From Magic Sets to a Tuple-oriented Approach 3. Comparing Magic Sets and Goal-directed Forward Chaining 4. Computing Relevant Atoms 5. GDFC-Resolution 6. Termination of GDFC-Resolution 7. Efficiency of GDFC-Resolution 8. Conclusions
Introduction Evolving Algebras 1. Prolog -- Tree and Stack Models 2. Predicate Structure 3. Clause Structure 4. Term Structure Appendix 1. Rules for Prolog Tree Model Appendix 2. Rules for Compiled Predicate Structure Appendix 3. Rules for Compiled Clause Structure Appendix 4. Rules for the WAM
1. Introduction 2. Basic Notions 3. Directed Programs and Oriented Derivations 4. Well-formed Programs 5. Program Transformation 6. Automatic Termination Proofs 7. Derivation of Linear Predicate Inequalities for Well-formed Programs 8. Final Remarks
1. Introduction 2. Interoperability 3. EPSILON 4. Building Interoperable Systems with Links 5. Conclusions
1. Introduction 2. Concepts of PROTOS-L 3. The PROTOS-L System 4. Planning Applications 5. Conclusions and Further Work
1. Introduction 2. Types and subtyping 3. Typed logic programming 4. Parametric polymorphism and feature types 5. Formal aspects 6. Conclusions and further work
1. Introduction 2. The Objects Package -- A precursor to Classes 3. The Second Version: The Classes Package 4. Implementation of classes 5. Results 6. Examples 7. Future Work 8. Related Work 9. Conclusions
1. Introduction 2. A Primer to Constraint Logic Programming 3. Using CLP as a tool for combinatorial problem solving 4. The domain reduction solver 5. The real linear solver 6. Making the different solvers communicate 7. Conclusion
1. Introduction 2. Constraints in Scheduling Problems 3. Disjunctive Constraints 4. Heuristics: A Guide To Search 5. Related Work 6. Conclusions
1. Introduction 2. The Scheduling Problem -- A Generic Solution 3. Specification of Scheduler Clusters 4. Schedule Generation 5. Evaluation of Experiments 6. Conclusions
1. The Scheduling Problem 2. Scheduling in PROTOS 3. Meta-Scheduling 4. Dynamic and Meta-Scheduling Knowledge 5. Representation of Scheduling Knowledge by Heuristics 6. META_PLAN: Using Dynamic Scheduling Knowledge 7. Conclusion
1. Introduction 2. Contextual Logic Programming systems 3. The CARA robot programming support 4. An application 5. Conclusions
1. Introduction 2. Image sequence recognition 3. Temporal logic programming 4. Translation into temporal logic 5. Discussion 6. Conclusion
1. A Paradox 2. What is LP Anyway ? 3. Why isn`t Commercial Success Secured Yet ? 4. A strategy for LP -- Gaining a New Momentum 5. Conclusion
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