Machine Learning, Meta-Reasoning and Logics

This book contains a selection of papers presented at the International Workshop Machine Learning, Meta-Reasoning and Logics held in Hotel de Mar in Sesimbra, Portugal, 15-17 February 1988. All the papers were edited afterwards. The Workshop encompassed several fields of Artificial Intelligence: Mac...

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Bibliographic Details
Other Authors: Brazdil, Pavel B. (Editor), Konolige, Kurt (Editor)
Format: eBook
Language:English
Published: New York, NY Springer US 1990, 1990
Edition:1st ed. 1990
Series:The Springer International Series in Engineering and Computer Science
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • I. Meta-Reasoning and Machine Learning
  • A Metalevel Manifesto
  • A Sketch of Autonomous Learning using Declarative Bias
  • Shift of Bias as Non-Monotonic Reasoning
  • Mutual Constraints on Representation and Inference
  • Meta-Reasoning: Transcription of Invited Lecture by Luigia Aiello
  • II. Reasoning About Proofs and Explanations
  • Overgenerality in Explanation-Based Generalization
  • A Tool for the Management of Incomplete Theories: Reasoning about Explanations
  • A Comparison of Rule and Exemplar-Based Learning Systems
  • Discovery and Revision via Incremental Hill Climbing
  • Learning from Imperfect Data
  • III. Foundations of AI and Machine Learning
  • Knowledge Revision and Multiple Extensions
  • Minimal Change—A Criterion for Choosing between Competing Models
  • Hierarchic Autoepistemic Theories for Nonmonotonic Reasoning: Preliminary Report
  • Automated Quantified Modal Logic