Logo

Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

Large book cover: Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing
by

Publisher: UC Berkeley
ISBN/ASIN: B00CWH5Z4U
Number of pages: 214

Description:
'Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing' tells the history of the origins of AI. As the field that seeks to do things that would be considered intelligent if a human being did them, AI is a constant of human thought.

Home page url

Download or read it online for free here:
Download link
(1.3MB, PDF)

Download mirrors:
Mirror 1

Similar books

Book cover: The World and Mind of Computation and ComplexityThe World and Mind of Computation and Complexity
by
With the increase in development of technology, there is research of human-like artificial intelligence that can be self-aware and act just like humans. This book explores how we may be close to developing a true artificially intelligent being.
(3618 views)
Book cover: Interacting with PresenceInteracting with Presence
by - De Gruyter Open
The experience of interacting with the newest Virtual Reality technologies is affected by the extent to which we feel ourselves to be 'present' in computer-generated worlds. This volume provides an introduction to the topic of mediated presence.
(1034 views)
Book cover: Multiagent Systems: Algorithmic, Game-Theoretic, and Logical FoundationsMultiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
by - 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.
(6760 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.
(2354 views)