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| #4972677 in Books | Springer | 2003-09-17 | Original language:English | PDF # 1 | 6.14 x.63 x9.21l,1.15 | File type: PDF | 292 pages | ||11 of 12 people found the following review helpful.| Good introduction...ALKEMY needs more investigation|By Dr. Lee D. Carlson|This book gives an introduction to computational logic and machine learning in the context of higher-order logic, and also serves as a rudimentary introduction to functional logic programming languages. My interest in it was stirred by its emphasis on comprehensibility in learning, its attempt to discus|||From the reviews of the third edition: | |"John has tried his hand at machine learning, and his aim in Logic for Learning is to demonstrate ‘the rich and fruitful interplay between the fields of computational logic and machine learning’. …
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 represent...
You easily download any file type for your device.Logic For Learning | John W. Lloyd. Which are the reasons I like to read books. Great story by a great author.
