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100519s1992 caua ob 101 0 eng d |
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|a OCLCE
|b eng
|e pn
|c OCLCE
|d OCLCQ
|d OCLCF
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|a 300639624
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|a 9780080499444
|q (electronic bk.)
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|a 0080499449
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|z 9781558602502
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|a (OCoLC)622773056
|z (OCoLC)300639624
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|a dlr
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|a Q334
|b .A777 1992
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|a COM
|x 000000
|2 bisacsh
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|a 006.3/3
|2 20
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|a Artificial intelligence planning systems :
|b proceedings of the first international conference, June 15-17, 1992, College Park, Maryland /
|c edited by James Hendler ; sponsored by American Association for Artificial Intelligence, Defense Advanced Research Projects Agency, University of Maryland Institute for Advanced Computer Studies.
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260 |
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|a San Mateo, Calif. :
|b M. Kaufmann,
|c �1992.
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|a 1 online resource (vii, 314 pages) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references and index.
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|3 Use copy
|f Restrictions unspecified
|2 star
|5 MiAaHDL
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|a Electronic reproduction.
|b [Place of publication not identified] :
|c HathiTrust Digital Library,
|d 2010.
|5 MiAaHDL
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|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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|a digitized
|c 2010
|h HathiTrust Digital Library
|l committed to preserve
|2 pda
|5 MiAaHDL
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|a Print version record.
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|a Front Cover; Artificial Intelligence Planning Systems; Copyright Page; Organization of the 1st International Conference on AI Planning Systems; Acknowledgements; Table of Contents; Foreword: Planning the Planning Conference; Part I: Papers; Chapter 1. Declarative Goals in Reactive Plans; Abstract; 1 Introduction; 2 Problems and Representations; 3 Planning Algorithm; 4 Related Work; 5 Conclusion; Acknowledgements; References; Chapter 2. An Analysis of Search Techniques for a Totally-Ordered Nonlinear Planner; Abstract; 1 Introduction; 2 Search in PRODIGY4.0.
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|a 3 Integration of abstraction in prodigy4.04 Empirical Results; 5 Conclusions and some future directions; Acknowledgements; References; Chapter 3. Complexity Results for Extended Planning; Abstract; 1 INTRODUCTION; 2 PREVIOUS COMPLEXITY RESULTS; 3 EXTENDED PLANNING; 4 COMPLEXITY RESULTS; 5 IMPLICATIONS; Acknowledgments; References; Chapter 4. Abstract Probabilistic Modeling of Action; Abstract; 1 Introduction; 2 Abstraction Problems; 3 Abstraction-Based Interpretation; 4 Modeling Action; 5 Projection; 6 Levels of Abstraction; 7 Conclusion; Acknowledgements; References.
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|a Appendix: Proof of Lemma 1Chapter 5. Semantics for tasks that can be interrupted or abandoned; Abstract; 1 SEMANTICS FOR ALGOL-LIKE PLANNING LANGUAGES; 2 INTERRUPTING A N D SUSPENDING SUBTASKS; 3 THE SEMANTICS OF CONTINUING A TASK; 4 EMBEDDING IN CONTINUOUS TIME; 5 PRIMITIVE ACTIONS; 6 FORMAL SEMANTICS; 7 FORMAL VERIFICATION OF A PLAN (SKETCH); 8 FUTURE WORK; Acknowledgements; References; Chapter 6. Acquiring Search Heuristics Automatically for Constraint-based Planning and Scheduling; Abstract; 1 Introduction; 2 Background; 3 Learning about Variables; 4 Generalized Constraints; 5 Discussion.
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|a AcknowledgementsReferences; Chapter 7. PLAN RECOGNITION IN UNDERSTANDING INSTRUCTIONS; Abstract; 1 Introduction; 2 Accommodation; 3 Related work; 4 Implementation of inferences; 5 Summary; Acknowledgements; References; Chapter 8. Building Symbolic Primitives with Continuous Control Routines; Abstract; 1 Introduction; 2 Background; 3 Situation Specific Robot Control; 4 An Example: Object Following; 5 Summary; References; Chapter 9. Rational Handling of Multiple Goals for Mobile Robots; Abstract; 1 Introduction; 2 Utility Based Rationality; 3 Planning Framework; 4 Hero Robot Domain.
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|a 5 ConclusionsAcknowledgments; References; Chapter 10. A Framework of Simplifications in Learning to Plan; Abstract; 1 INTRODUCTION; 2 ADEQUATE LEARNING; 3 CHALLENGES AND DIRECTIONS; 4 VALIDATING SIMPLIFICATIONS; 5 CONCLUSIONS; Acknowledgements; References; Chapter 11. Decision-Theoretic Recursive Modeling and the Coordinated Attack Problem; Abstract; Introduction; The Recursive Modeling Method (RMM); The Utility of Communication Using RMM; Intentional Messages; Decision-Theoretic Solution to the Coordinated Attack Problem; Discussion; Acknowledgements; References.
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|a Artificial Intelligence Planning Systems.
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546 |
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|a English.
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650 |
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|a Artificial intelligence
|v Congresses.
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|a Planning
|x Data processing
|v Congresses.
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650 |
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6 |
|a Intelligence artificielle
|0 (CaQQLa)201-0008626
|v Congr�es.
|0 (CaQQLa)201-0378219
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650 |
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6 |
|a Planification
|0 (CaQQLa)201-0191012
|x Informatique
|0 (CaQQLa)201-0191012
|v Congr�es.
|0 (CaQQLa)201-0378219
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650 |
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7 |
|a COMPUTERS
|x General.
|2 bisacsh
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650 |
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7 |
|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
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650 |
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7 |
|a Planning
|x Data processing.
|2 fast
|0 (OCoLC)fst01065228
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655 |
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2 |
|a Congress
|0 (DNLM)D016423
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|a Conference papers and proceedings.
|2 fast
|0 (OCoLC)fst01423772
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655 |
|
7 |
|a Conference papers and proceedings.
|2 lcgft
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655 |
|
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|a Actes de congr�es.
|2 rvmgf
|0 (CaQQLa)RVMGF-000001049
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700 |
1 |
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|a Hendler, James A.
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710 |
2 |
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|a American Association for Artificial Intelligence.
|
710 |
1 |
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|a United States.
|b Defense Advanced Research Projects Agency.
|
710 |
2 |
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|a University of Maryland at College Park.
|b Institute for Advanced Computer Studies.
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711 |
2 |
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|a International Conference on Artificial Intelligence Planning Systems
|n (1st :
|d 1992 :
|c College Park, Md.)
|
776 |
0 |
8 |
|i Print version:
|t Artificial intelligence planning systems.
|d San Mateo, Calif. : M. Kaufmann, �1992
|w (DLC) 92013636
|w (OCoLC)25709087
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780080499444
|z Texto completo
|