Declarative Logic Programming. Michael Kifer
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Название: Declarative Logic Programming

Автор: Michael Kifer

Издательство: Ingram

Жанр: Компьютеры: прочее

Серия: ACM Books

isbn: 9781970001983

isbn:

СКАЧАТЬ Acknowledgments

       References

       Chapter 3 A Survey of Probabilistic Logic Programming

       Fabrizio Riguzzi, Theresa Swift

      3.1 Introduction

      3.2 Languages with the Distribution Semantics

      3.3 Defining the Distribution Semantics

      3.4 Other Semantics for Probabilistic Logics

      3.5 Probabilistic Logic Programs and Bayesian Networks

      3.6 Inferencing in Probabilistic Logic Programs

      3.7 Discussion

       Acknowledgments

       References

       PART II SYSTEMS

       Chapter 4 WAM for Everyone: A Virtual Machine for Logic Programming

       David S. Warren

      4.1 Introduction

      4.2 The Run-Time Environment of a Traditional Procedural Language

      4.3 Deterministic Datalog

      4.4 Deterministic Prolog

      4.5 Nondeterministic Prolog

      4.6 Last Call Optimization

      4.7 Indexing

      4.8 Environment Trimming

      4.9 Features Required for Full Prolog

      4.10 WAM Extensions for Tabling

      4.11 Concluding Remarks

       Acknowledgments

       References

       Chapter 5 Predicate Logic as a Modeling Language: The IDP System

       Broes De Cat, Bart Bogaerts, Maurice Bruynooghe, Gerda Janssens, Marc Denecker

      5.1 Introduction

      5.2 FO(ID, AGG, PF, T), the Formal Base Language

      5.3 IDP as a Knowledge Base System

      5.4 The IDP Language

      5.5 Advanced Features

      5.6 Under the Hood

      5.7 In Practice

      5.8 Related Work

      5.9 Conclusion

       References

       Chapter 6 SolverBlox: Algebraic Modeling in Datalog

       Conrado Borraz-Sánchez, Diego Klabjan, Emir Pasalic, Molham Aref

      6.1 Introduction

      6.2 Datalog

      6.3 LogicBlox and LogiQL

      6.4 Mathematical Programming with LogiQL

      6.5 The Traveling Salesman Problem (TSP) Test Case

      6.6 Conclusions and Future Work

       References

       PART III APPLICATIONS

       Chapter 7 Exploring Life: Answer Set Programming in Bioinformatics

       Alessandro Dal Palù, Agostino Dovier, Andrea Formisano, Enrico Pontelli

      7.1 Introduction

      7.2 Biology in a Nutshell

      7.3 Answer Set Programming in a Nutshell

      7.4 Phylogenetics

      7.5 Haplotype Inference

      7.6 RNA Secondary Structure Prediction

      7.7 Protein Structure Prediction

      7.8 Systems Biology

      7.9 Other Logic Programming Approaches

      7.10 Conclusions

       Acknowledgments

       References

       Chapter 8 State-Space Search with Tabled Logic Programs

       C. R. Ramakrishnan

      8.1 Introduction

      8.2 Finite-State Model Checking

      8.3 Infinite-State Model Checking

      8.4 Simple Planning via Tabled Search

      8.5 Discussion

       Acknowledgments

       References

       Chapter 9 Natural Language Processing with (Tabled and Constraint) Logic Programming

       Henning Christiansen, Verónica Dahl

      9.1 Introduction

      9.2 Tabling, LP, and NLP

      9.3 Tabled Logic Programming and Definite Clause Grammars

      9.4 Using Extra Arguments for Linguistic Information

      9.5 Assumption Grammars: DCGs Plus Global Memory

      9.6 Constraint Handling Rules and Their Application to Language Processing

      9.7 Hypothetical Reasoning with CHR and Prolog: Hyprolog

      9.8 A Note on the Usefulness of Probabilistic Logic Programming for Language Processing

      9.9 Conclusion

       References

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