Written from a multidisciplinary perspective, this book supplies an exhaustive description of NKRL and of the associated knowledge representation principles. It also constitutes an invaluable source of reference for practitioners, researchers and graduates.
This multi-disciplinary volume features contributions from experts in fields as various as artificial intelligence and consumer behavior. It covers the key concepts in recommender systems and includes real-world applications and detailed case studies.
This book presents an introduction, both non-technical and technical, to modern quantum neural computation. It combines quantum computation with neural computation and provides a blueprint for the future quantum brain.
Reinforcement learning has evolved to tackle domains that are yet to be fully understood, or are too complex for a closed description. In this book the author investigates whether suitable abstraction methods can overcome the discipline’s deficiencies.