Case-Based Reasoning Research and Development

1. Theoretical/Methodological Research Papers

   1. Robust Measures of Complexity in TCBR

      • M. A. Raghunandan, Sutanu Chakraborti, Deepak Khemani

      Pages 270-284

   2. S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control

      • Brandon Rohrer

      Pages 285-297

   3. Quality Enhancement Based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender

      • Maria Salamó, Sergio Escalera, Petia Radeva

      Pages 298-312

   4. Abstraction in Knowledge-Rich Models for Case-Based Planning

      • Antonio A. Sánchez-Ruiz, Pedro A. González-Calero, Belén Díaz-Agudo

      Pages 313-327

   5. A Scalable Noise Reduction Technique for Large Case-Based Systems

      • Nicola Segata, Enrico Blanzieri, Pádraig Cunningham

      Pages 328-342

   6. Conceptual Neighborhoods for Retrieval in Case-Based Reasoning

      • Ben G. Weber, Michael Mateas

      Pages 343-357

   7. CBR Supports Decision Analysis with Uncertainty

      • Ning Xiong, Peter Funk

      Pages 358-373

   8. Constraint-Based Case-Based Planning Using Weighted MAX-SAT

      • Hankui Zhuo, Qiang Yang, Lei Li

      Pages 374-388

2. Applied Research Papers

   1. A Value Supplementation Method for Case Bases with Incomplete Information

      • Kerstin Bach, Meike Reichle, Klaus-Dieter Althoff

      Pages 389-402

   2. Efficiently Implementing Episodic Memory

      • Nate Derbinsky, John E. Laird

      Pages 403-417

   3. Integration of a Methodology for Cluster-Based Retrieval in jColibri

      • Albert Fornells, Juan Antonio Recio-García, Belén Díaz-Agudo, Elisabet Golobardes, Eduard Fornells

      Pages 418-433

   4. Case-Based Collective Inference for Maritime Object Classification

      • Kalyan Moy Gupta, David W. Aha, Philip Moore

      Pages 434-449

   5. Case-Based Reasoning for Situation-Aware Ambient Intelligence: A Hospital Ward Evaluation Study

      • Anders Kofod-Petersen, Agnar Aamodt

      Pages 450-464

   6. Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning

      • Hua Li, Héctor Muñoz-Avila, Diane Bramsen, Chad Hogg, Rafael Alonso

      Pages 465-478

   7. Case-Based Support for Forestry Decisions: How to See the Wood from the Trees

      • Conor Nugent, Derek Bridge, Glen Murphy, Bernt-Håvard Øyen

      Pages 479-493

   8. A Case-Based Perspective on Social Web Search

      • Barry Smyth, Peter Briggs, Maurice Coyle, Michael P. O’Mahony

      Pages 494-508

   9. Determining Root Causes of Drilling Problems by Combining Cases and General Knowledge

      • Samad Valipour Shokouhi, Agnar Aamodt, Pål Skalle, Frode Sørmo

      Pages 509-523

3. Back Matter

   PDF

This 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.

• Ada
• CBR agents
• Cluster
• agents
• algorithms
• ambient intelligence
• automatic case generation
• case similarity
• case-based planning
• case-based reasoning
• distributed CBR
• heuristics
• learning
• proving
• robot

• Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin,, Dublin 4, Ireland

  Lorraine McGinty

• Department of Software and Information Systems, College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA

  David C. Wilson

Policies and ethics