LEADER 05493nam 2200721 450 001 996465847203316 005 20210712221339.0 010 $a1-282-29797-X 010 $a9786612297977 010 $a3-642-02998-1 024 7 $a10.1007/978-3-642-02998-1 035 $a(CKB)1000000000761220 035 $a(EBL)450853 035 $a(OCoLC)437347189 035 $a(SSID)ssj0000291011 035 $a(PQKBManifestationID)11219601 035 $a(PQKBTitleCode)TC0000291011 035 $a(PQKBWorkID)10248618 035 $a(PQKB)10405159 035 $a(DE-He213)978-3-642-02998-1 035 $a(MiAaPQ)EBC450853 035 $a(MiAaPQ)EBC6413347 035 $a(PPN)136310702 035 $a(EXLCZ)991000000000761220 100 $a20210324d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCase-based reasoning research and development $e8th International Conference on Case-Based Reasoning, ICCBR 2009, Seattle, WA, USA, July 20-23, 2009 : proceedings /$fLorraine McGinty, David C. Wilson (eds.) 205 $a1st ed. 2009. 210 1$aBerlin, Germany :$cSpringer,$d[2009] 210 4$dİ2009 215 $a1 online resource (536 p.) 225 1 $aLecture notes in computer science ;$v5650 225 1 $aLecture notes in artificial intelligence 300 $aInternational conference proceedings. 311 $a3-642-02997-3 320 $aIncludes bibliographical references and index. 327 $aInvited Talks -- We?re Wiser Together -- Black Swans, Gray Cygnets and Other Rare Birds -- Theoretical/Methodological Research Papers -- Case Retrieval Reuse Net (CR2N): An Architecture for Reuse of Textual Solutions -- Case-Based Reasoning in Transfer Learning -- Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples -- Opportunistic Adaptation Knowledge Discovery -- Improving Reinforcement Learning by Using Case Based Heuristics -- Dimensions of Case-Based Reasoner Quality Management -- Belief Merging-Based Case Combination -- Maintenance by a Committee of Experts: The MACE Approach to Case-Base Maintenance -- The Good, the Bad and the Incorrectly Classified: Profiling Cases for Case-Base Editing -- An Active Approach to Automatic Case Generation -- Four Heads Are Better than One: Combining Suggestions for Case Adaptation -- Adaptation versus Retrieval Trade-Off Revisited: An Analysis of Boundary Conditions -- Boosting CBR Agents with Genetic Algorithms -- Using Meta-reasoning to Improve the Performance of Case-Based Planning -- Multi-level Abstractions and Multi-dimensional Retrieval of Cases with Time Series Features -- On Similarity Measures Based on a Refinement Lattice -- An Overview of the Deterministic Dynamic Associative Memory (DDAM) Model for Case Representation and Retrieval -- Robust Measures of Complexity in TCBR -- S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control -- Quality Enhancement Based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender -- Abstraction in Knowledge-Rich Models for Case-Based Planning -- A Scalable Noise Reduction Technique for Large Case-Based Systems -- Conceptual Neighborhoods for Retrieval in Case-Based Reasoning -- CBR Supports Decision Analysis with Uncertainty -- Constraint-Based Case-Based Planning Using Weighted MAX-SAT -- Applied Research Papers -- A Value Supplementation Method for Case Bases with Incomplete Information -- Efficiently Implementing Episodic Memory -- Integration of a Methodology for Cluster-Based Retrieval in jColibri -- Case-Based Collective Inference for Maritime Object Classification -- Case-Based Reasoning for Situation-Aware Ambient Intelligence: A Hospital Ward Evaluation Study -- Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning -- Case-Based Support for Forestry Decisions: How to See the Wood from the Trees -- A Case-Based Perspective on Social Web Search -- Determining Root Causes of Drilling Problems by Combining Cases and General Knowledge. 330 $aThis book constitutes the refereed proceedings of the 8th International Conference on Case-Based Reasoning, ICCBR 2009, held in Seattle, WA, USA, in July 2009. The 17 revised full papers and 17 revised poster papers presented together with 2 invited talks were carefully reviewed and selected from 55 submissions. Covering a wide range of CBR topics of interest both to practitioners and researchers, the papers are devoted to theoretical/methodological as well as to applicative aspects of current CBR analysis. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence. 410 0$aLecture notes in computer science ;$v5650. 606 $aArtificial intelligence$vCongresses 606 $aCase-based reasoning$vCongresses 606 $aExpert systems (Computer science)$vCongresses 615 0$aArtificial intelligence 615 0$aCase-based reasoning 615 0$aExpert systems (Computer science) 676 $a006.333 686 $aDAT 706f$2stub 686 $aSS 4800$2rvk 702 $aWilson$b David C. 702 $aMcGinty$b Lorraine 712 12$aInternational Conference on Case-Based Reasoning 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465847203316 996 $aCase-Based Reasoning Research and Development$9771966 997 $aUNISA LEADER 01488nam0 22003493i 450 001 NAP0523188 005 20251003044254.0 010 $a1860946593 100 $a20111205d2006 ||||0itac50 ba 101 | $aeng 102 $agb 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aCommunication networks and computer systems$ea tribute to Professor Erol Gelenbe$feditor, Javier A. 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