Case-Based Reasoning Research and Development: First International Conference, ICCBR-95 Sesimbra, Portugal, October 23–26, 1995 Proceedings

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

This book constitutes the refereed proceedings of the First International Conference on Case-Based Reasoning, ICCBR-95, held in Sesimbra, Portugal, in October 1995.
The 52 revised papers included are classified as scientific papers , application papers , and posters . All current aspects of research and development aiming at industrial applications in CBR are addressed. Among the topical sections are case and knowledge representation, case retrieval, nearest neighbour methods, case adaption and learning, cognitive modelling, integrated reasoning methods, and application-oriented methods: planning, decision making, diagnosis, interpretation, design, etc.

Author(s): Jonathan R. C. Allen, David W. R. Patterson (auth.), Manuela Veloso, Agnar Aamodt (eds.)
Series: Lecture Notes in Computer Science 1010 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1995

Language: English
Pages: 458
Tags: Artificial Intelligence (incl. Robotics); Operations Research/Decision Theory; Business Information Systems

Integration of case based retrieval with a relational database system in Aircraft Technical Support....Pages 1-10
Cost estimation of software projects through case base reasoning....Pages 11-22
Operator decision aiding by adaptation of supervision strategies....Pages 23-32
PROFIL: A decision support tool for metallic sections design using a CBR approach....Pages 33-42
MacRad : Radiology image resource with a case-based retrieval system....Pages 43-54
Representing and indexing building refurbishment cases for multiple retrieval of adaptable pieces of cases....Pages 55-66
Large-scale fault diagnosis for on-board train systems....Pages 67-76
Case-based reasoning for expertise relocation in support of rural health workers in developing countries....Pages 77-87
Spatial composition using cases: IDIOM....Pages 88-97
CBR and Machine Learning for combustion system design....Pages 98-108
KBS maintenance as learning two-tiered domain representation....Pages 109-120
A case-based approach for developing writing tools aimed at non-native English users....Pages 121-132
Reasoning with reasons in case-based comparisons....Pages 133-144
Towards the integration of case-based, schema-based and model-based reasoning for supporting complex design tasks....Pages 145-156
Separating the cases from the data: Towards more flexible case-based reasoning....Pages 157-168
Route planning by analogy....Pages 169-180
Case adaptation using an incomplete causal model....Pages 181-192
Evaluating the application of CBR in mesh design for simulation problems....Pages 193-204
Case memory and retrieval based on the immune system....Pages 205-216
Using case data to improve on rule-based function approximation....Pages 217-228
Learning to improve case adaptation by introspective reasoning and CBR....Pages 229-240
Retrieving cases in structured domains by using goal dependencies....Pages 241-252
An average-case analysis of k -nearest neighbor classifier....Pages 253-264
Cases as terms: A feature term approach to the structured representation of cases....Pages 265-276
ADAPtER: An integrated diagnostic system combining case-based and abductive reasoning....Pages 277-288
Adaptation using constraint satisfaction techniques....Pages 289-300
Learning a local similarity metric for case-based reasoning....Pages 301-312
Experiments on adaptation-guided retrieval in case-based design....Pages 313-324
Integrating rules and cases for the classification task....Pages 325-334
Reuse of knowledge: Empirical studies....Pages 335-346
Weighting features....Pages 347-358
An investigation of marker-passing algorithms for analogue retrieval....Pages 359-370
INRECA: A seamlessly integrated system based on inductive inference and case-based reasoning....Pages 371-380
DOM-ArC: An active decision support system for quality assessment of cases....Pages 381-390
A case-based reasoner adaptive to different cognitive tasks....Pages 391-400
On the use of CBR in optimisation problems such as the TSP....Pages 401-410
Case-based diagnosis of multiple faults....Pages 411-420
On the automatic generation of case libraries by chunking chess games....Pages 421-430
Learning to refine indexing by introspective reasoning....Pages 431-440
Problem solving with “the incredible machine” an experiment in case-based reasoning....Pages 441-450
Integrating case based reasoning and tabu search for solving optimisation problems....Pages 451-460
Systems, tasks and adaptation knowledge: Revealing some revealing dependencies....Pages 461-470
Some limitations of feature-based recognition in case-based design....Pages 471-480
A case based method for solving relatively stable dynamic constraint satisfaction problems....Pages 481-490
Learning strategies for explanation patterns: Basic game patterns with application to chess....Pages 491-500
A memory-based hierarchical planner....Pages 501-509
Case-Based Reasoning for cash flow forecasting using fuzzy retrieval....Pages 510-519
A connectionist indexing approach for CBR systems....Pages 520-527
Using a neural network to learn general knowledge in a case-based system....Pages 528-537
“Fish and Sink” an anytime-algorithm to retrieve adequate cases....Pages 538-547
Knowledge engineering for CBR systems from a cognitive science perspective....Pages 548-558
Towards using a single uniform metric in instance-based learning....Pages 559-568