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The Digital Synaptic Neural Substrate: A New Approach to Computational Creativity: SpringerBriefs in Cognitive Computation, cartea 3

Autor Azlan Iqbal, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, Boshra Haghighi
en Limba Engleză Paperback – 10 feb 2016
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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Specificații

ISBN-13: 9783319280783
ISBN-10: 3319280783
Pagini: 119
Ilustrații: XV, 119 p. 13 illus., 4 illus. in color.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.2 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Cognitive Computation

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Preface.- Introduction.- Review.- Methodology.- Experimental work.- Consolidation of results.- Conclusions.- Index.- Appendix A.- Appendix B.- Appendix C.- Appendix D.- Appendix E.- Appendix F.

Textul de pe ultima copertă

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.


Caracteristici

New and practical approach in designing a computationally creative system that generates creative output Breakthrough in automatic chess problem composing technology, challenging the prevailing dominance of human composers Offers a detailed explanation of the DSNS concept, the composing algorithm and composing source code Includes supplementary material: sn.pub/extras