Logo

Human Computer Confluence by Andrea Gaggioli, et al.

Large book cover: Human Computer Confluence

Human Computer Confluence
by

Publisher: De Gruyter Open Ltd
ISBN/ASIN: 3110471124
ISBN-13: 9783110471120
Number of pages: 330

Description:
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:
Download link
(multiple PDF files)

Similar books

Book cover: Ambient IntelligenceAmbient Intelligence
by - InTech
In this book we analyze a selection of open problems which we consider the key ones in order to let ambient intelligence become a reality. This book provides the reader with a good idea about the current research lines in ambient intelligence.
(8808 views)
Book cover: The Age of Intelligent MachinesThe Age of Intelligent Machines
by - The MIT Press
Visionary computer scientist Raymond Kurzweil probes the past, present, and future of artificial intelligence, from its earliest philosophical and mathematical roots to tantalizing glimpses of 21st-century machines with superior intelligence.
(7412 views)
Book cover: Swarm Intelligence: Focus on Ant and Particle Swarm OptimizationSwarm Intelligence: Focus on Ant and Particle Swarm Optimization
by - InTech
Motivated by the capability of the biologically inspired algorithms, the book aims to present recent developments in optimization with swarm intelligence techniques. The book also presents some selected representative case studies.
(10179 views)
Book cover: Bayesian NetworkBayesian Network
by - 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.
(3239 views)