The Artificial Intelligence Compendium: Author and title indices
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Published: 1988
Total Pages:
ISBN-13: 9780913251409
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Author:
Publisher:
Published: 1988
Total Pages:
ISBN-13: 9780913251409
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1988
Total Pages:
ISBN-13: 9780913251409
DOWNLOAD EBOOKAuthor: Garry Briscoe
Publisher: Intellect (UK)
Published: 1996
Total Pages: 386
ISBN-13:
DOWNLOAD EBOOKMachine learning is a relatively new branch of artificial intelligence. The field has undergone a significant period of growth in the 1990s, with many new areas of research and development being explored.
Author:
Publisher:
Published: 1988
Total Pages: 688
ISBN-13:
DOWNLOAD EBOOKAuthor: John Fulcher
Publisher: Springer
Published: 2008-05-28
Total Pages: 1182
ISBN-13: 3540782931
DOWNLOAD EBOOKComputational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions from leading experts in Computational Intelligence. The main focus of the compendium is on applied methods, tried-and-proven as being effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. This state-of- handbook-style book has contributions by leading experts.
Author: Elisabeth Beller
Publisher:
Published:
Total Pages:
ISBN-13:
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Published: 1988
Total Pages:
ISBN-13: 9780913251409
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Published: 1988
Total Pages:
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DOWNLOAD EBOOKAuthor: P. Hitzler
Publisher: IOS Press
Published: 2023-08-04
Total Pages: 706
ISBN-13: 1643684078
DOWNLOAD EBOOKIf only it were possible to develop automated and trainable neural systems that could justify their behavior in a way that could be interpreted by humans like a symbolic system. The field of Neurosymbolic AI aims to combine two disparate approaches to AI; symbolic reasoning and neural or connectionist approaches such as Deep Learning. The quest to unite these two types of AI has led to the development of many innovative techniques which extend the boundaries of both disciplines. This book, Compendium of Neurosymbolic Artificial Intelligence, presents 30 invited papers which explore various approaches to defining and developing a successful system to combine these two methods. Each strategy has clear advantages and disadvantages, with the aim of most being to find some useful middle ground between the rigid transparency of symbolic systems and the more flexible yet highly opaque neural applications. The papers are organized by theme, with the first four being overviews or surveys of the field. These are followed by papers covering neurosymbolic reasoning; neurosymbolic architectures; various aspects of Deep Learning; and finally two chapters on natural language processing. All papers were reviewed internally before publication. The book is intended to follow and extend the work of the previous book, Neuro-symbolic artificial intelligence: The state of the art (IOS Press; 2021) which laid out the breadth of the field at that time. Neurosymbolic AI is a young field which is still being actively defined and explored, and this book will be of interest to those working in AI research and development.
Author: Elisabeth Beller
Publisher:
Published: 1988
Total Pages:
ISBN-13:
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