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The Digital Synaptic Neural Substrate

Azlan Iqbal, - Personal Name;

This book describes a new computational approach to creativity. With chess as the domain of investigation, the authors show experimentally how a computer can be imbued with the 'spark' of creativity that enables it to compose chess problems or puzzles that are both challenging and aesthetically appealing to humans. This new approach called the Digital Synaptic Neural Substrate (DSNS) mimics the brain's ability to combine fragments of seemingly unrelated information from different domains (such as chess, photographs and music) to inspire itself to create new objects in any of them. Representing the cutting edge in computational creativity research, this book will be useful to students, educators and researchers in the field as well as artificial intelligence (AI) practitioners, in general.


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Detail Information
Series Title
SpringerBriefs in Cognitive Computation
Call Number
-
Publisher
: Springer Cham., 2016
Collation
XV, 119, 9 b/w illustrations, 4 illustrations in colour
Language
English
ISBN/ISSN
978-3-319-28079-0
Classification
NONE
Content Type
-
Media Type
computer
Carrier Type
-
Edition
1
Subject(s)
Artificial Intelligence,
Theory of Computation
Neurosciences,
Specific Detail Info
-
Statement of Responsibility
Azlan Iqbal, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, Boshra Haghighi
Other Information
Cataloger
Suwardi
Source
https://link.springer.com/book/10.1007/978-3-319-28079-0
Validator
-
Digital Object Identifier (DOI)
-
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
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  • The Digital Synaptic Neural Substrate
    This book describes a new computational approach to creativity. With chess as the domain of investigation, the authors show experimentally how a computer can be imbued with the 'spark' of creativity that enables it to compose chess problems or puzzles that are both challenging and aesthetically appealing to humans. This new approach called the Digital Synaptic Neural Substrate (DSNS) mimics the brain's ability to combine fragments of seemingly unrelated information from different domains (such as chess, photographs and music) to inspire itself to create new objects in any of them. Representing the cutting edge in computational creativity research, this book will be useful to students, educators and researchers in the field as well as artificial intelligence (AI) practitioners, in general.
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