Foundations of Knowledge Acquisition Machine Learning /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Meyrowitz, Alan L. (Editor), Chipman, Susan (Editor)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 1993.
• Series: The Springer International Series in Engineering and Computer Science, 195
• Subjects: Computer science.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computer Science, general.

One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise lear...

Table of Contents:

• Learning = Inferencing + Memorizing
• Adaptive Inference
• On Integrating Machine Learning with Planning
• The Role of Self-Models in Learning to Plan
• Learning Flexible Concepts Using a Two-Tiered Representation
• Competition-Based Learning
• Problem Solving via Analogical Retrieval and Analogical Search Control
• A View of Computational Learning Theory
• The Probably Approximately Correct (PAC) and Other Learning Models
• On the Automated Discovery of Scientific Theories.