Fundamental Issues of Artificial Intelligence

Cham: Springer (2016)
  Copy   BIBTEX

Abstract

[Müller, Vincent C. (ed.), (2016), Fundamental issues of artificial intelligence (Synthese Library, 377; Berlin: Springer). 570 pp.] -- This volume offers a look at the fundamental issues of present and future AI, especially from cognitive science, computer science, neuroscience and philosophy. This work examines the conditions for artificial intelligence, how these relate to the conditions for intelligence in humans and other natural agents, as well as ethical and societal problems that artificial intelligence raises or will raise. The key issues this volume investigates include the relation of AI and cognitive science, ethics of AI and robotics, brain emulation and simulation, hybrid systems and cyborgs, intelligence and intelligence testing, interactive systems, multi-agent systems, and superintelligence. Based on the 2nd conference on “Theory and Philosophy of Artificial Intelligence” held in Oxford, the volume includes prominent researchers within the field from around the world.

Chapters

Similar books and articles

Fundamental Issues in Artificial Intelligence.Yoav Yigael - 2011 - World Futures 67 (8):564 - 568.
Jeszcze raz o ucieleśnionej sztucznej inteligencji.Anna Sarosiek - 2017 - Philosophical Problems in Science 63:231-240.

Analytics

Added to PP
2014-06-30

Downloads
3,041 (#2,465)

6 months
340 (#6,057)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Vincent C. Müller
Universität Erlangen-Nürnberg

References found in this work

No references found.

Add more references