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100326s1988 caua ob 101 0 eng d |
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|a OCLCE
|b eng
|e pn
|c OCLCE
|d OCLCQ
|d OCLCF
|d OPELS
|d OCLCO
|d EBLCP
|d N$T
|d E7B
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|a 297352813
|a 897646132
|a 974619312
|a 974664014
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|a 1175727108
|a 1199556266
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|a 9780934613675
|q (electronic bk.)
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|a 0934613672
|q (electronic bk.)
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|a 9781483214450
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|a 1483214451
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|z 0934613699
|q (hard)
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|z 9780934613699
|q (hard)
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|a (OCoLC)581421661
|z (OCoLC)297352813
|z (OCoLC)897646132
|z (OCoLC)974619312
|z (OCoLC)974664014
|z (OCoLC)1153029150
|z (OCoLC)1175727108
|z (OCoLC)1199556266
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|a dlr
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|a Q334
|b .N36 1986
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|a 006.3
|2 19
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|a 54.72
|2 bcl
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|a National Conference on Artificial Intelligence
|n (5th :
|d 1986 :
|c Philadelphia, Pa.)
|
245 |
1 |
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|a Exploring artificial intelligence :
|b survey talks from the National Conferences on Artificial Intelligence /
|c edited by Howard E. Shrobe and the American Association for Artificial Intelligence.
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260 |
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|a San Mateo, Calif. :
|b Morgan Kaufmann Publishers,
|c �1988.
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300 |
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|a 1 online resource (xii, 693 pages) :
|b illustrations
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336 |
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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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504 |
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|a Includes bibliographical references and index.
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506 |
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|3 Use copy
|f Restrictions unspecified
|2 star
|5 MiAaHDL
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533 |
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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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538 |
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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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583 |
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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; Exploring Artificial Intelligence: Survey Talks from the National Conferences on Artificial Intelligence; Copyright Page; Table of Contents; Preface; Acknowledgments; PART I: TEACHING AND LEARNING; Chapter 1. Intelligent Tutoring Systems: A Survey; Introduction; Three Case Examples; Accomplishments Thus Far; More Case Examples; Evaluating Tutoring Systems; Controversies; Bottlenecks, Barriers, and Breakthroughs; Conclusions; References; Chapter 2. An Introduction to Explanation-based Learning; Introduction; An Intuitive Specification of EBL
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|a Explanation-based and Similarity-based LearningTypes of Generalization; Formalisms for Explanation-based Learning; What the Formalisms Miss; The History of EBL; Continuing Research Issues; Conclusions; Acknowledgments; References; PART II: INTERACTING THROUGH LANGUAGE; Chapter 3. Knowledge-based Natural Language Understanding; 1 Introduction; 2 Knowledge Structures; 3 Marker Passing; 4 Syntax and Semantics; 5 Analogical Reasoning and Language; 6 Episodic and Semantic Memory; 7 Conclusions; Questions and Answers; Acknowledgments; References; Chapter 4. Natural-Language Interfaces
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|a 1 Introduction2 An Overview of the Problems; 3 Constraints on Interpretation; 4 System Architectures; 5 Methods; 6 Future Directions; Acknowledgments; References; PART III: PLANNING AND SEARCH; Chapter 5. Reasoning About Plans and Actions; 1 Introduction; 2 The Representation of Actions and Events; 3 Plan Synthesis; 4 Multiagent Domains; 5 Embedded Systems; Acknowledgments; References; Chapter 6. Search: A Survey of Recent Results; 1 Introduction; 2 Brute-Force Searches; 3 Heuristic Search; 4 Abstraction; 5 Two-Player Games; 6 Real-Time Single-Agent Search; 7 Constraint-Satisfaction Problems
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|a 8 Major Open Problems9 Conclusion; References; PART IV: REASONING ABOUT MECHANISMS AND CAUSALITY; Chapter 7. Qualitative Physics: Past, Present, and Future; 1 Introduction; 2 Why Qualitative Ptiysics?; 3 The Past; 4 The State of the Art; 5 The Frontier; Acknowledgments; References; Chapter 8. Model-based Reasoning: Troubleshooting; 1 Introduction; 2 The Basic Taslc; 3 Altemate Approaches; 4 Organization and Vocabulary; 5 Describing Structure and Behavior; 6 Three Fundamental Tasks; 7 Interim Conclusions; 8 The Research Issues; 9 Summary; Acknowledgments; References
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|a Chapter 9. Artificial Intelligence Techniques for Diagnostic Reasoning in Medicine1 Historical Perspective; 2 Sequential Bayesian Diagnosis; 3 Limiting ttte Number of Active Hypotheses; 4 Diagnostic Reasoning Using Multiple Hierarchies; 5 Problems in Dealing with Multiple Disorders; 6 Diagnosing Multiple Interacting Diseases; 7 Where Do We stand?; Acknowledgments; References; PART V: THEORETICAL UNDERPINNINGS; Chapter 10. Evidential Reasoning Under Uncertainty; 1 Introduction; 2 Extensional Systems: Merits, Deficiencies, and Remedies; 3 Intensional Systems and Network Representations
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546 |
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|a English.
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650 |
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0 |
|a Artificial intelligence
|v Congresses.
|
650 |
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0 |
|a Reasoning
|v Congresses.
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650 |
|
6 |
|a Intelligence artificielle
|0 (CaQQLa)201-0008626
|v Congr�es.
|0 (CaQQLa)201-0378219
|
650 |
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6 |
|a Raisonnement
|0 (CaQQLa)201-0005918
|v Congr�es.
|0 (CaQQLa)201-0378219
|
650 |
|
7 |
|a Artificial intelligence
|2 fast
|0 (OCoLC)fst00817247
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650 |
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|a Reasoning
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|0 (OCoLC)fst01091282
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|a Kunstmatige intelligentie.
|2 gtt
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|a Intelligence artificielle.
|2 ram
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|a Raisonnement.
|2 ram
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655 |
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2 |
|a Congress
|0 (DNLM)D016423
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655 |
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7 |
|a proceedings (reports)
|2 aat
|0 (CStmoGRI)aatgf300027316
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655 |
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|a Conference papers and proceedings
|2 fast
|0 (OCoLC)fst01423772
|
655 |
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7 |
|a Conference papers and proceedings.
|2 lcgft
|
655 |
|
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|a Actes de congr�es.
|2 rvmgf
|0 (CaQQLa)RVMGF-000001049
|
700 |
1 |
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|a Shrobe, Howard E.
|
710 |
2 |
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|a American Association for Artificial Intelligence.
|
711 |
2 |
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|a National Conference on Artificial Intelligence
|n (6th :
|d 1987 :
|c Seattle, Wash.)
|
776 |
0 |
8 |
|i Print version:
|a National Conference on Artificial Intelligence (5th : 1986 : Philadelphia, Pa.).
|t Exploring artificial intelligence.
|d San Mateo, Calif. : Morgan Kaufmann Publishers, �1988
|w (DLC) 88013041
|w (OCoLC)18163499
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780934613675
|z Texto completo
|