Logic for Learning
Author | : John W. Lloyd |
Publisher | : Springer Science & Business Media |
Total Pages | : 276 |
Release | : 2003-08-06 |
ISBN-10 | : 3540420274 |
ISBN-13 | : 9783540420279 |
Rating | : 4/5 (74 Downloads) |
Download or read book Logic for Learning written by John W. Lloyd and published by Springer Science & Business Media. This book was released on 2003-08-06 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those interested in computational logic, it provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. For those interested in machine learning, the book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.