New York: Springer, 2016. - 119 p.
New and practical approach in designing a computationally creative system that generates creative outputBreakthrough 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
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.
Topics:Neurosciences
Artificial Intelligence (incl. Robotics)
Theory of Computation