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Practical planning : extending the classical AI planning paradigm /

Planning, or reasoning about actions, is a fundamental element of intelligent behavior--and one that artificial intelligence has found very difficult to implement. The most well-understood approach to building planning systems has been under refinement since the late 1960s and has now reached a leve...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wilkins, David Edward
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Mateo, Calif. : Morgan Kaufmann Publishers, 1988.
Colección:Morgan Kaufmann series in representation and reasoning
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Wilkins, David Edward. 
245 1 0 |a Practical planning :  |b extending the classical AI planning paradigm /  |c David E. Wilkins. 
260 |a San Mateo, Calif. :  |b Morgan Kaufmann Publishers,  |c 1988. 
300 |a 1 online resource (xiii, 205 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a Morgan Kaufmann series in representation and reasoning 
504 |a Includes bibliographical references and index. 
506 |3 Use copy  |f Restrictions unspecified  |2 star  |5 MiAaHDL 
533 |a Electronic reproduction.  |b [Place of publication not identified] :  |c HathiTrust Digital Library,  |d 2010.  |5 MiAaHDL 
538 |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.  |u http://purl.oclc.org/DLF/benchrepro0212  |5 MiAaHDL 
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588 0 |a Print version record. 
520 |a Planning, or reasoning about actions, is a fundamental element of intelligent behavior--and one that artificial intelligence has found very difficult to implement. The most well-understood approach to building planning systems has been under refinement since the late 1960s and has now reached a level of maturity where there are good prospects for building working planners. 
505 0 |a Front Cover; Practical Planning: Extending the Classical AI Planning Paradigm; Copyright Page; Acknowledgments; Table of Contents; List of Figures; List of Tables; CHAPTER 1. Reasoning about Actions and Planning; 1.1 Philosophical and Practical Importance; 1.2 The Classical AI Planning Problem; 1.3 Reactive Planning; 1.4 The Essence of Planning; 1.5 Capabilities of a Planning System; 1.6 How Hard is Planning?; 1.7 Classical AI Planning Systems; 1.8 SIPE; CHAPTER 2. Basic Assumptions and Limitations; 2.1 Important Features; 2.2 Limitations; CHAPTER 3. SIPE and Its Representations. 
505 8 |a 3.1 Representation of Domain Objects and Relationships3.2 Operator Description Language; 3.3 Plan Rationale; 3.4 Plans; CHAPTER 4. Hierarchical Planning at Differing Abstraction Levels; 4.1 The Many Guises of Hierarchical Planning; 4.2 A Problem with Current Planners; 4.3 Solutions; CHAPTER 5. Constraints; 5.1 SIPE's Constraint Language; 5.2 Use of Constraints; 5.3 Unification; CHAPTER 6. The Truth Criterion; 6.1 The Formula Truth Criterion; 6.2 The PTC for Ground, Linear Plans; 6.3 Introducing Variables; 6.4 Introducing Existential Quantifiers; 6.5 Introducing Universal Quantifiers. 
505 8 |a 6.6 Introducing Nonlinearity6.7 Summary; CHAPTER 7. Deductive Causal Theories; 7.1 A Motivating Example; 7.2 Domain Rules; 7.3 Problems with Domain Rules; 7.4 Heuristic Adequacy and Expressive Power; CHAPTER 8. Plan Critics; 8.1 Solving the Constraint Network; 8.2 Parallel Interactions; 8.3 Goal Phantomization; 8.4 Solving Harmful Interactions; 8.5 Adding Ordering Constraints; 8.6 Examples; CHAPTER 9. Resources: Reusable, Consumable, Temporal; 9.1 Reusable Resources; 9.2 Representation of Numerical Quantities; 9.3 Consumable Resources; 9.4 Temporal Reasoning. 
505 8 |a 9.5 Manipulating Numerical Quantities9.6 Summary; CHAPTER 10. Search; 10.1 Automatic Search; 10.2 Intermingling Planning and Execution; 10.3 Interactive Control; 10.4 Domain-Dependent Search Control; 10.5 Other Search Strategies; CHAPTER 11. Replanning During Execution; 11.1 Overview of SIPE's Execution-Monitoring System; 11.2 Unknowns; 11.3 Interpreting the Input; 11.4 The Problem Recognizer; 11.5 Replanning Actions; 11.6 The General Replanner; 11.7 Examples; 11.8 Searching the Space of Modified Plans; 11.9 Summary; CHAPTER 12. Planning and Reactivity; 12.1 Level of the Interface. 
505 8 |a 12.2 Who Is in Control?CHAPTER 13. Achieving Heuristic Adequacy; 13.1 Summary of Heuristics; 13.2 Subsumption of Pred Constraints; 13.3 Encoding Domains in SIPE; CHAPTER 14. Comparison with Other Systems; 14.1 Nonclassical Planning Systems; 14.2 Previous Classical Planners; 14.3 Constraints; 14.4 Critics; 14.5 Replanning; 14.6 Heuristic Adequacy; Bibliography; Index. 
650 0 |a Artificial intelligence. 
650 0 |a Planning. 
650 2 |a Artificial Intelligence  |0 (DNLM)D001185 
650 6 |a Intelligence artificielle.  |0 (CaQQLa)201-0008626 
650 6 |a Planification.  |0 (CaQQLa)201-0047540 
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650 7 |a Artificial intelligence  |2 fast  |0 (OCoLC)fst00817247 
650 7 |a Planning  |2 fast  |0 (OCoLC)fst01065224 
650 1 7 |a Kunstmatige intelligentie.  |2 gtt 
776 0 8 |i Print version:  |a Wilkins, David Edward.  |t Practical planning.  |d San Mateo, Calif. : Morgan Kaufmann Publishers, 1988  |w (DLC) 88013044  |w (OCoLC)18163529 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780080514475  |z Texto completo