The Digital Synaptic Neural Substrate: A New Approach to Computational Creativity

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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.

Author(s): Azlan Iqbal, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, Boshra Haghighi
Series: SpringerBriefs in Cognitive Computation
Publisher: Springer
Year: 2016

Language: English
Pages: xvi+119
Tags: Neurosciences; Artificial Intelligence (incl. Robotics); Theory of Computation

Front Matter....Pages i-xv
Introduction....Pages 1-3
Review....Pages 5-10
Methodology....Pages 11-19
Experimental Work....Pages 21-44
Consolidation of Results....Pages 45-48
Conclusions....Pages 49-50
Back Matter....Pages 51-119