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Digital Synaptic Neural Substrate

A New Approach to Computational Creativity

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Digital Synaptic Neural Substrate Azlan Iqbal
Libristo kod: 02856904
Nakladnici Springer International Publishing AG, veljača 2016
This book describes a new computational approach to creativity. With chess as the domain of investig... Cijeli opis
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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.§§

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Informacije o knjizi

Puni naziv Digital Synaptic Neural Substrate
Autor Azlan Iqbal, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, Boshra Haghighi
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2016
Broj stranica 119
EAN 9783319280783
ISBN 3319280783
Libristo kod 02856904
Nakladnici Springer International Publishing AG
Težina 2175
Dimenzije 155 x 235 x 6

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Medicine & Nursing > Medicine: general issues > Medical equipment & techniques > Medical research
Mathematics & Science > Biology, life sciences > Life sciences: general issues > Neurosciences
Medicine & Nursing > Medical specialties, branches of medicine > Neurology & clinical neurophysiology
Computing & Information Technology > Computer science > Mathematical theory of computation
Computing & Information Technology > Computer science > Artificial intelligence
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