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Inside case-based reasoning

Author: Christopher K Riesbeck; Roger C Schank
Publisher: Hillsdale, N.J. : Lawrence Erlbaum Associates, Pubs., 1989.
Series: Artificial Intelligence Series.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Introducing issues in dynamic memory and case-based reasoning, this comprehensive volume presents extended descriptions of four major programming efforts conducted at Yale during the past several years. Each descriptive chapter is followed by a companion chapter containing the micro program version of the information. The authors emphasize that the only true way to learn and understand any AI program is to program  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Riesbeck, Christopher K.
Inside case-based reasoning.
Hillsdale, N.J. : Lawrence Erlbaum Associates, Pubs., 1989
(DLC) 89011961
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Christopher K Riesbeck; Roger C Schank
ISBN: 9781134930029 113493002X 1299624790 9781299624795
OCLC Number: 847132885
Description: 1 online resource (xxiii, 423 pages).
Contents: Inside Case-based Reasoning; Copyright; Contents; List of Figures; List of Tables; List of Listingss; Preface; 1 Case-based Reasoning: An Introduction; 1.1 AI and Cognition; 1.2 Does Thinking really involve Thinking?; 1.2.1 Understanding Depends Upon Explanation; 1.2.2 Scripts; 1.3 The Basic Planning Algorithm; 1.4 Cases versus Rules; 1.4.1 Ossified Cases; 1.4.2 Paradigmatic Cases; 1.4.3 Stories; 1.5 Reminding; 1.5.1 Goal-based Reminding; 1.5.2 Plan-based Reminding; 1.5.3 Reminding across Multiple Contexts; 1.5.4 Morals; 1.5.5 Intentional Reminding; 1.5.6 A Perspective on Reminding. 2 Case-based Reasoners2.1 Introduction; 2.2 Case Studies in Case-based Reasoning; 2.2.1 IPP; 2.2.2 Cyrus; 2.2.3 Judge; 2.2.4 Chef; 2.2.5 Coach; 2.2.6 Mediator; 2.2.7 Hypo; 2.2.8 Plexus; 2.2.9 Persuader; 2.2.10 Casey; 2.2.11 Swale; 2.3 Rule-based Reasoning; 2.4 Case-based Reasoning; 2.5 Memory Organization; 2.5.1 Memory Organization Packages (MOPs); 2.5.2 Case-based Learning and Memory Organization; 2.5.3 Thematic Organization Packets; 2.6 Adapting Cases; 2.6.1 Types of Adaptation; 2.6.2 Adaptation Techniques; 2.7 Explanation and Repair; 2.7.1 Repair; 3 Implementing Micro MOPS. 3.1 Introduction3.2 Some Basic Lisp Utilities; 3.2.1 Catching Errors; 3.3 Tables; 3.4 Iteration with the FOR Macro; 3.5 MOP-based Memory; 3.6 Implementation; 3.7 Extensions; 3.7.1 Structures versus Tables; 3.7.2 Debugging Tools; 3.7.3 Memory Statistics; 3.7.4 Improving Efficiency; 3.7.5 Indexing MOPs; 3.7.6 Generalization; 4 Judge; 4.1 Protocol Data: What A Judge Does; 4.2 Case of the 16-year-old offender; 4.2.1 Prior Record; 4.2.2 Forming Explanations; 4.2.3 The Victims; 4.2.4 Legal Constraints and the Plea; 4.3 The Case of the 16-year-old Molester Revisited. 4.3.1 Experience-based Generalizations4.3.2 Choosing a Structure for Sentencing; 4.3.3 Conditions on Choices; 4.3.4 Motivations of the Offender; 4.4 Case-based Reasoning; 4.4.1 Rationalization; 4.5 Indexing and Retrieval; 4.6 Summary of Protocol Data; 4.7 The Judge Program; 4.8 Interpreting Motivations; 4.8.1 Interpretation in JUDGE; 4.9 Retrieving Previous Instances from Memory; 4.10 Differentiating Cases; 4.11 Generalization; 4.12 Rule Differentiation; 4.13 Applying Previous Strategies; 4.14 Assessing Differences between Crimes; 4.15 Modifying a Stored Sentence; 4.16 Explaining Rules. 4.17 The Effect of Ordering on Learning4.18 Extending JUDGE; 5 Micro Judge; 5.1 Introduction; 5.2 Implementing Micro JUDGE; 5.3 Running the JUDGE Demo; 5.4 Extensions; 5.4.1 Ordering of Cases; 5.4.2 Frequency of Actions; 5.4.3 Outcomes of Actions; 5.4.4 Consistency of Sentences; 5.4.5 Adapting Closest Cases; 6 Chef; 6.1 Case-based Planning; 6.2 A New Theory of Planning; 6.2.1 Building an Initial Plan; 6.2.2 Debugging Failed Plans; 6.2.3 Storing Plans for Later Use; 6.3 Learning from Planning; 6.4 Building it from the Bottom; 6.4.1 Why Case-based?; 6.4.2 Plan Retrieval; 6.4.3 Plan Modification.
Series Title: Artificial Intelligence Series.
Responsibility: Christopher K. Riesbeck, Roger C. Schank.

Abstract:

Introducing issues in dynamic memory and case-based reasoning, this comprehensive volume presents extended descriptions of four major programming efforts conducted at Yale during the past several years. Each descriptive chapter is followed by a companion chapter containing the micro program version of the information. The authors emphasize that the only true way to learn and understand any AI program is to program it yourself. To this end, the book develops a deeper and richer understanding of the content through LISP programming instructions that allow the running, modification, and.

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