Note: Intro -- Series Preface -- Reference -- Acknowledgements -- Abbreviations -- Contents -- Chapter 1: Introduction -- Chapter 2: The Legacy of Animal Performance -- 2.1 From the Classical World to the Nineteenth Century -- 2.2 Emerging Opposition -- References -- (Articles in periodicals are anonymous or untitled unless otherwise shown) -- Chapter 3: Open Debate in the British Parliament and Beyond -- 3.1 Parliamentary Enquiries, Bills, and Legislation -- 3.2 Select Committee Witnesses and Reliability of Evidence -- 3.3 Press and Political Interest -- 3.4 Professionals´ Perceptions of the RSPCA, PADL, and Public Opinion -- 3.5 Organized Defence of Animal Performance -- 3.6 Commercial Pressures and the Manager´s Perspective -- 3.7 Racial Prejudice in the Controversy -- 3.8 The Employee´s Environment: Job Security and Tipping -- 3.9 The Question of Dignity and of Effects on Children -- 3.10 Human Casualties -- References -- (Articles in periodicals are anonymous or untitled unless otherwise shown.) -- Chapter 4: Means and Ends -- 4.1 Capture, Transport and Captivity -- 4.2 Wild, `Docile´ and Domesticated Animals and the Age Factor in Training -- 4.3 Unnatural and Terrifying Acts? -- 4.4 Taming and Training: By Fear or `Kindness´? -- 4.5 Training for Quick Results and Performance to Timetable -- 4.6 Black Sheep -- 4.7 Health, Veterinary Opinion and Psychological Suffering -- References -- (Articles in periodicals are anonymous or untitled unless otherwise shown) -- Chapter 5: Unfinished Business -- 5.1 Secrecy, Inspection and Licensing Proposals -- 5.2 The Effect of the Law -- 5.3 Attempts at New Legislation -- References -- (Articles in periodicals are anonymous or untitled unless otherwise shown) -- Chapter 6: Agitation After the Act -- 6.1 Edmund MacMichael and the Performing Animals´ Defence League. , 6.1.1 Confrontation with Ernest Bell and Realignment -- 6.1.2 The Campaign Against Bertram Mills, Lord Lonsdale, Billy Smart and Others -- 6.1.3 Relations with Sir Robert Gower and the RSPCA -- 6.1.4 Problems with the Establishment -- 6.2 Performing Animals in Film -- 6.3 Animal Performance and Applied Science -- References -- (Articles in periodicals are anonymous or untitled unless otherwise shown) -- Chapter 7: Conclusion -- Reference -- Index.

Note: Intro -- Title Page -- Preface -- Organization -- Table of Contents -- Invited Talks -- We're Wiser Together -- Introduction -- Knowledge Containers -- Retrieval Knowledge -- Adaptation Knowledge -- Representation Knowledge -- Meta-knowledge -- Models and Maintenance -- Agile CBR -- Conclusions -- References -- Black Swans, Gray Cygnets and Other Rare Birds -- Introduction -- The Gray Cygnet Problem: Four Research Issues -- Examples of Black Swans and Gray Cygnets -- Recognition of Swans and Vigilant Monitoring for Cygnets -- Hypotheticals and Synthetic Cygnets -- Responsive Re-representation -- References -- Theoretical/Methodological Research Papers -- Case Retrieval Reuse Net (CR2N): An Architecture for Reuse of Textual Solutions -- Introduction -- Related Work -- Case Retrieval Reuse Net (CR2N) -- Case Retrieval Net (CRN) -- From CRN to CR2N -- Evidence for Annotations: Neighbouring vs. All Cases -- Text Reuse with Case Grouping -- Text Reuse with CR2N -- Distinguishing CR2N from CG -- Evaluation Methodology -- Weather Forecast Revision -- Health and Safety Incident Reporting -- References -- Case-Based Reasoning in Transfer Learning -- Introduction -- Transfer Learning and Case-Based Reasoning -- Case Study: Intent Recognition for Transfer Learning -- Environment, Tasks, and State Representations -- Learning Algorithms -- Empirical Evaluation -- Results and Analysis -- A Concurrent Learning Alternative -- Discussion: Intent Recognition, TL, CBR, and Future Work -- Summary -- References -- Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples -- Introduction -- Reasoning with Hypothetical Cases and Adaptation -- Example of Reasoning with Hypotheticals -- Process Model of Hypothetical Argument -- Case-Based Adaptation in the Process Model -- Related Work -- Representing Hypothetical Reasoning Diagrammatically. , Experiment to Assess Reliability of Interpreting Diagrams -- Experimental Procedure -- Preliminary Results and Discussion -- Conclusions -- References -- Opportunistic Adaptation Knowledge Discovery -- Introduction -- Basic Notions About CBR -- Application Context: The TAAABLE System -- Representation Issues -- The CBR Process in TAAABLE -- Why Learning Adaptation Knowledge in TAAABLE? -- Opportunistic Adaptation Knowledge Discovery -- Adaptation Knowledge Discovery from the Case Base -- Opportunistic and Interactive Knowledge Acquisition -- Combining the Two Approaches -- Applying Opportunistic AK Discovery to TAAABLE -- AK Discovery -- Opportunistic Adaptation Knowledge Discovery -- Implementation -- A First Example: Cooking a Chocolate Cake -- A Second Example: Cooking a Chinese Soup -- Discussion and Related Work -- Conclusion and Future Work -- References -- Improving Reinforcement Learning by Using Case Based Heuristics -- Introduction -- Reinforcement Learning and the Q-Learning Algorithm -- Heuristic Accelerated Reinforcement Learning and the HAQL Algorithm -- Case Based Reasoning -- Combining Case Based Reasoning and Reinforcement Learning -- Experiments in the Robotic Soccer Domain -- Conclusion -- References -- Dimensions of Case-Based Reasoner Quality Management -- Introduction -- Defining Case-Based Reasoner Quality Management -- Quality of the CBR System's Knowledge Base -- Case-Based Reasoner Quality Management -- A General Framework for CBRQM -- General Policies -- Basic Conditions and Premises -- Procedural Elements -- Behavioural Elements -- Integrating CBRM and CBRQM -- Conclusion -- References -- Belief Merging-Based Case Combination -- Introduction -- Introduction of the Running Example -- Preliminaries -- Set Theory Notations -- Metric Spaces -- CBR: Definitions and Hypotheses -- Formalization of the Example. , Integrity Constraint Belief Merging -- IC Merging in Propositional Logic -- Generalization -- Example of Pre-IC Merging Operator -- Case Combination Based on a Pre-IC Merging Operator -- Conservative Adaptation -- \delta-Combination of Cases -- Application to the Example -- Application to CCBI -- Credible Case-Based Inference -- \delta^{d,Σ}-Combination of Cases Extends CCBI -- Computing IC Merging in Numerical Spaces -- Conclusion, Related Work, and Future Work -- References -- Maintenance by a Committee of Experts: The MACE Approach to Case-Base Maintenance -- Introduction -- Comparison of Existing Algorithms -- Empirical Comparisons -- An Analysis of Algorithm Biases -- Maintenance by a Committee of Experts (MACE) -- Experimental Methodology -- General Results -- Harmonic Mean -- Pareto Front -- Noise-Filtering -- The Effect of Boundary Complexity -- The Special Case of Spam -- Conclusions and Future Work -- References -- The Good, the Bad and the Incorrectly Classified: Profiling Cases for Case-Base Editing -- Introduction -- Case-Base Editing -- Competence-Based Case-Base Editing -- CaseProfiles -- Enhanced Competence Model -- Categorising Cases -- Experimental Analysis -- Removal of Different Types of Cases -- What Existing Noise Reduction Algorithms Do -- Comparison of Editing Algorithms -- Conclusions and Future Work -- References -- An Active Approach to Automatic Case Generation -- Introduction -- Related Work -- Modelling an Expert's Behaviour -- Improving Passive Learning with Active Case Generation -- Determining a Connecting Sequence -- Experimental Results -- Experimental Setup -- Importance of Problem Order -- Applying Active Learning -- Conclusions and Future Work -- References -- Four Heads Are Better than One: Combining Suggestions for Case Adaptation -- Introduction. , Case Study Context: Intelligent Assistance for Authors of Scientific Workflows -- Background -- Towards a General Framework for Combining Adaptation Suggestions -- Determining Confidence in Candidate Suggestions -- Determining Relevance of Overlapping Suggestions -- Combining Suggestions and Suggestion Confidence -- A General Framework for Producing and Combining Adaptation Suggestions -- A Case Study of the Framework: Implementation in Phala -- Component Suggestion Methods -- Refitting to Insure Comparable Confidence Values -- Methods for Combining Suggestions -- Experimental Design -- General Factors and Trade-Offs -- Dataset -- Leave-One-Out Tests -- Results -- Related Work -- Future Work -- Conclusions -- References -- Adaptation versus Retrieval Trade-Off Revisited: An Analysis of Boundary Conditions -- Introduction -- Analyses of Boundary Conditions -- Analysis of a Naive Adaptation Algorithm -- Analysis of an Omniscient Adaptation Algorithm -- A Plan Adaptation Example -- Domain-Configurable Plan Adaptation -- Partial-Order Planning -- Domain-Configurable Partial-Order Plan Adaptation Knowledge -- Domain-Configurable Partial-Order Plan Adaptation Algorithm -- Example of Domain-Configurable Plan Adaptation -- Empirical Evaluation -- Transportation Domain Encoding -- Experimental Setup -- Results -- Conclusions -- References -- Boosting CBR Agents with Genetic Algorithms -- Introduction -- BoostingCBRAgents -- Learning Boosting Weights with GA -- Chromosome -- Fitness Function -- Selection -- Crossover -- Mutation -- Reinsertion -- Ending Condition -- Application to Breast Cancer -- Breast Cancer Case Base -- Experimental Set Up -- Results -- Related Work -- Conclusions -- References -- Using Meta-reasoning to Improve the Performance of Case-Based Planning -- Introduction -- Related Work -- Case-Based Planning in WARGUS -- Plan Adaptation. , Meta-level Plan Adaptation -- Trace Recording -- Trace Difference Calculation -- Failure Detection -- Plan Modification -- Exemplification -- Meta-level Plan Adaptation Results -- Conclusion -- References -- Multi-level Abstractions and Multi-dimensional Retrieval of Cases with Time Series Features -- Introduction -- Data Structures and Functions for Multi-level Abstractions and Flexible Querying -- Multi-dimensional Index Structures for Retrieval Optimization -- Index Generation and Navigation -- Comparisons with Related Work -- Conclusions -- References -- On Similarity Measures Based on a Refinement Lattice -- Introduction -- A Refinement Lattice for Feature Logics -- Refinement Operators for Feature Terms -- Anti-unification-Based Similarity -- Property-Based Similarity -- An Illustrative Example -- Constructing the Properties -- Property-Based Similarity Definition -- Experimental Results -- Related Work -- Conclusions -- References -- An Overview of the Deterministic Dynamic Associative Memory (DDAM) Model for Case Representation and Retrieval -- Introduction -- Background -- The Design Principles of the DDAM Model -- High Dimensionality -- Sparseness -- Dynamicity and Similarity-Based Organization -- Existing Approaches -- Case Representation with the DDAM Model -- The Generalized Trie Memory Model -- Unsupervised Grammar Induction -- Similarity-Based Retrieval (IR) with the DDAM Model -- The "Hyperspace Telescope" Analogy -- A Medical Terminology Experiment -- Unsupervised Equivalence Set Induction -- Limitations and Future Work -- References -- Robust Measures of Complexity in TCBR -- Introduction -- Related Work -- TCBR and IR -- Complexity Measures in TCBR -- Challenges in Estimating Solution Similarity -- Pitfalls in Earlier Approaches -- Empirical Demonstration -- Estimating Similarities in the Presence of Human Judgment. , Calculating Complexity.