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050 4 |a Q336  |b .F74 1987 
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245 0 4 |a The Frame problem in artificial intelligence :  |b proceedings of the 1987 workshop, April 12-15, 1987, Lawrence, Kansas /  |c edited by Frank M. Brown ; co-sponsored by the American Association for Artificial Intelligence [and others]. 
260 |a Los Altos, Calif. :  |b Morgan Kaufmann Publishers,  |c �1987. 
300 |a 1 online resource (vii, 359 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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 
583 1 |a digitized  |c 2010  |h HathiTrust Digital Library  |l committed to preserve  |2 pda  |5 MiAaHDL 
588 0 |a Print version record. 
505 0 |a Front Cover; The Frame Problem in Artificial Intelligence; Copyright Page; Table of Contents; INTRODUCTION; 1. DEFINITION OF THE FRAME PROBLEM; 2. CIRCUMSCRIPTION APPROACHES AND CRITICISMS; 3. MODAL LOGIC APPROACHES; 4. SYNTACTIC CONSISTENCY APPROACHES; 5. CHOOSING BETWEEN COMPETING EXTENSIONS; 6. PRAGMATIC APPROACHES; BIBLIOGRAPHY; PART I: DEFINITION OF THE FRAME PROBLEM; Chapter 1. The Frame Problem Today; Chapter 2. What is the frame problem?; 1 A specific prediction task; 2 The problems of qualification and extended prediction, and their relation to the frame problem; 3 Summary 
505 8 |a Actions and EventsIndependence; Causality; The Yale Shooting Problem; Circumscribing Causality; Other Agents; Specifying Independence; Conclusions; Acknowledgments; References; CHAPTER 8. THE LOGIC OF FRAMES WITH EXCEPTIONS; 1) INTRODUCTION; 2) THE FRAME LANGUAGE; 3) THE MEANING QF THE FRAME LANGUAGE; 4) EXAMPLE; 5) AMBIGUITIES; 6) FUTURE WORK AND CONCLUSION; Acknowledgements; References; Chapter 9. A Note on Non-Monotonic Reasoning; 1. Monotonicity and non-monotonicity; 2. Partial inductive definitions of finite type; 3. A derivable default-rule; 4. The example of Hanks and McDermott 
505 8 |a 5. A situation calculusReferences; Chapter 10. AI, Logic, and the Frame Problem; 1 Introduction; 2 Inertia Versus Ramification; 3 Inertia and Nonmonotonicity; 4 Is Logic the Solution or the Problem?; References; PART III: MODAL LOGIC APPROACHES; CHAPTER 11. ACTION THEORY AND THE FRAME PROBLEM; ABSTRACT; I. INTRODUCTION; 2. THE LOGICAL THEORY ZK; 3. SOUNDNESS AND COMPLETENESS OF ZK; 4. ACTION MODELS; 5. RELATED RESEARCH: NONMONOTONIC THEORIES; 6. CONCLUSION; REFERENCES; CHAPTER 12. A MODAL LOGIC FOR THE REPRESENTATION OF KNOWLEDGE; 1. INTRODUCTION; 2. SYNTAX; 3. THE DEDUCTIVE THEORY 
505 8 |a 4. EXTENSIONAL SEMANTICS5. CONCLUSION; ACKNOWLEDGMENTS; REFERENCES; CHAPTER 13. ACTION, REFLECTIVE POSSIBILITY, AND THE FRAME PROBLEM; 1. INTRODUCTION; 2. REFLECTIVE POSSIBILITY AND THE PERSISTENCE PROBLEM; 3. THE FRAME PROBLEM AND MULTIPLE SOLUTIONS; 4. SEQUENTIAL ACTION-FRAME AXIOM; CONCLUSION; APPENDIX; Acknowledgements; References; CHAPTER 14. DOUBTING THOMAS: ACTION AND BELIEF REVISION; 1. INTRODUCTION; 2. Modal Logic Z; 3. Static Belief Theory; 4. Actions and the Frame Axiom; 5. Dynamic Belief Theory; 6. An Example: Doubting Thomas Problem; 7. Conclusions; ACKNOWLEDGEMENTS; REFERENCES 
520 |a The Frame Problem in Artificial Intelligence. 
546 |a English. 
650 0 |a Artificial intelligence  |x Data processing  |v Congresses. 
650 0 |a Frames (Information theory)  |v Congresses. 
650 0 |a Reasoning  |v Congresses. 
650 0 |a Frames (Information theory) 
650 6 |a Intelligence artificielle  |0 (CaQQLa)201-0131916  |x Informatique  |0 (CaQQLa)201-0131916  |v Congr�es.  |0 (CaQQLa)201-0378219 
650 6 |a Frames (Th�eorie de l'information)  |0 (CaQQLa)201-0170312 
650 6 |a Raisonnement  |0 (CaQQLa)201-0005918  |v Congr�es.  |0 (CaQQLa)201-0378219 
650 6 |a Frames (Th�eorie de l'information)  |0 (CaQQLa)201-0170312  |v Congr�es.  |0 (CaQQLa)201-0378219 
650 7 |a COMPUTERS  |x General.  |2 bisacsh 
650 7 |a Artificial intelligence  |x Data processing  |2 fast  |0 (OCoLC)fst00817255 
650 7 |a Frames (Information theory)  |2 fast  |0 (OCoLC)fst00933612 
650 7 |a Reasoning  |2 fast  |0 (OCoLC)fst01091282 
650 1 7 |a Raamwerken (taalkunde)  |2 gtt 
650 1 7 |a Redeneren.  |2 gtt 
655 2 |a Congress  |0 (DNLM)D016423 
655 7 |a proceedings (reports)  |2 aat  |0 (CStmoGRI)aatgf300027316 
655 7 |a Conference papers and proceedings  |2 fast  |0 (OCoLC)fst01423772 
655 7 |a Conference papers and proceedings.  |2 lcgft 
655 7 |a Actes de congr�es.  |2 rvmgf  |0 (CaQQLa)RVMGF-000001049 
700 1 |a Brown, Frank M.,  |d 1950- 
710 2 |a American Association for Artificial Intelligence. 
776 0 8 |i Print version:  |t Frame problem in artificial intelligence.  |d Los Altos, Calif. : Morgan Kaufmann Publishers, �1987  |w (DLC) 87004140  |w (OCoLC)15195917 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780934613323  |z Texto completo