Machine Learning: A Guide to Current Research

Front Matter....Pages i-xv
Judge: A Case-based Reasoning System....Pages 1-4
Changing Language while Learning Recursive Descriptions from Examples....Pages 5-9
Learning by Disjunctive Spanning....Pages 11-14
Transfer of Knowledge Between Teaching and Learning Systems....Pages 15-18
Some Approaches to Knowledge Acquisition....Pages 19-24
Analogical Learning with Multiple Models....Pages 25-28
The World Modelers Project: Objectives and Simulator Architecture....Pages 29-34
The Acquisition of Procedural Knowledge through Inductive Learning....Pages 35-38
Learning Static Evaluation Functions by Linear Regression....Pages 39-42
Plan Invention and Plan Transformation....Pages 43-45
A Brief Overview of Explanatory Schema Acquisition....Pages 47-50
The EG Project: Recent Progress....Pages 51-54
Learning Causal Relations....Pages 55-58
Functional Properties and Concept Formation....Pages 59-62
Explanation-Based Learning in Logic Circuit Design....Pages 63-66
A Proposed Method of Conceptual Clustering for Structured and Decomposable Objects....Pages 67-70
Exploiting Functional Vocabularies to Learn Structural Descriptions....Pages 71-74
Combining Numeric and Symbolic Learning Techniques....Pages 75-80
Learning by Understanding Analogies....Pages 81-84
Analogical Reasoning in the Context of Acquiring Problem Solving Expertise....Pages 85-88
Planning and Learning in a Design Domain: The Problems Plan Interactions....Pages 89-92
Inference of Incorrect Operators....Pages 93-97
A Conceptual Framework for Concept Identification....Pages 99-102
Neural Modeling as one Approach to Machine Learning....Pages 103-108
Steps Toward Building a Dynamic Memory....Pages 109-113
Learning by Composition....Pages 115-117
Knowledge Acquisition: Investigations and General Principles....Pages 119-121
Purpose-Directed Analogy: A Summary of Current Research....Pages 123-126
Development of a Framework for Contextual Concept Learning....Pages 127-131
On Safely Ignoring Hypotheses....Pages 133-136
A Model of Acquiring Problem Solving Expertise....Pages 137-140
Another Learning Problem: Symbolic Process Prediction....Pages 141-144
Learning at LRI Orsay....Pages 145-150
Coper: A Methodology for Learning Invariant Functional Descriptions....Pages 151-154
Using Experience as a Guide for Problem Solving....Pages 155-159
Heuristics as Invariants and its Application to Learning....Pages 161-165
Components of Learning in a Reactive Environment....Pages 167-171
The Development of Structures Through Interaction....Pages 173-177
Complex Learning Environments: Hierarchies and the Use of Explanation....Pages 179-182
Prediction and Control in an Active Environment....Pages 183-187
Better Information Retrieval Through Linguistic Sophistication....Pages 189-192
Machine Learning Research in the Artificial Intelligence Laboratory at Illinois....Pages 193-197
Overview of the Prodigy Learning Apprentice....Pages 199-202
A Learning Apprentice System for VLSI Design....Pages 203-206
Generalizing Explanations of Narratives into Schemata....Pages 207-212
Why are Design Derivations Hard to Replay?....Pages 213-218
An Architecture for Experiential Learning....Pages 219-226
Knowledge Extraction Through Learning from Examples....Pages 227-231
Learning Concepts with a Prototype-Based Model for Concept Representation....Pages 233-236
Recent Progress on the Mathematician’s Apprentice Project....Pages 237-240
Acquiring Domain Knowledge from Fragments of Advice....Pages 241-245
Calm: Contestation for Argumentative Learning Machine....Pages 247-253
Directed Experimentation for Theory Revision and Conceptual Knowledge Acquisition....Pages 255-259
Goal-free Learning by Analogy....Pages 261-267
A Scientific Approach To Practical Induction....Pages 269-274
Exploring Shifts of Representation....Pages 275-279
Current Research on Learning in Soar....Pages 281-290
Learning Concepts in a Complex Robot World....Pages 291-294
Learning Evaluation Functions....Pages 295-297
Learning from Data with Errors....Pages 299-302
Explanation-Based Manipulator Learning....Pages 303-306
Learning Classical Physics....Pages 307-310
Views and Causality in Discovery: Modelling Human Induction....Pages 311-315
Learning Control Information....Pages 317-319
An Investigation of the Nature of Mathematical Discovery....Pages 321-326
Learning How to Reach a Goal: A Strategy for the Multiple Classes Classification Problem....Pages 327-332
Conceptual Clustering of Structured Objects....Pages 333-336
Learning in Intractable Domains....Pages 337-341
On Compiling Explainable Models of a Design Domain....Pages 343-347
What can be Learned?....Pages 349-351
Learning Heuristic Rules from Deep Reasoning....Pages 353-357
Learning a Domain Theory by Completing Explanations....Pages 359-362
Learning Implementation Rules with Operating-Conditions Depending on Internal Structures in VLSI Design....Pages 363-368
Overview of the Odysseus Learning Apprentice....Pages 369-373
Learning from Exceptions in Databases....Pages 375-377
Learning Apprentice Systems Research at Schlumberger....Pages 379-383
Language Acquisition: Learning Phrases in Context....Pages 386-389
Back Matter....Pages 391-429