Human Computer Confluence
by Andrea Gaggioli, et al.
Publisher: De Gruyter Open Ltd 2016
Number of pages: 330
Human computer confluence is a research area aimed at developing an effective, even transparent, bidirectional communication between humans and computers, which has the potential to enable new forms of sensing, perception, interaction, and understanding. This book provides a groundbreaking collection of chapters exploring the science, technology and applications of HCC, bringing together experts in neuroscience, psychology and computer science.
Home page url
Download or read it online for free here:
(multiple PDF files)
by Ahmed Rebai (ed.) - InTech
Bayesian networks are a general tool that can be used for a large number of problems involving uncertainty: reasoning, learning, planning and perception. This is a collection of contributions to the methodology and applications of Bayesian networks.
by Mike Sharples, et al. - A Bradford Book
The aim of this book is to introduce people with little or no computing background to artificial intelligence (AI) and cognitive science. It emphasizes the psychological, social, and philosophical implications of artificial intelligence.
by Yoav Shoham, Kevin Leyton-Brown - Cambridge University Press
Multiagent systems consist of multiple autonomous entities having different information and diverging interests. This comprehensive introduction to the field offers a computer science perspective, but also draws on ideas from game theory.
by Lawrence Hunter - AAAI Press
A current sampling of AI approaches to problems of biological significance. The text covers genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems.