J.A. Anderson and E. Rosenfeld (Eds.), Talking Nets: An Oral History of Neural Networks

Artificial Intelligence 119 (1-2):287-293 (2000)
  Copy   BIBTEX

Abstract

This article has no associated abstract. (fix it)

Categories

Keywords

Reprint years

DOI

10.1016/s0004-3702(00)00014-x

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,349

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

Talking Nets: An Oral History of Neural Networks. James A. Anderson, Edward Rosenfeld.Steve Joshua Heims - 1999 - Isis 90 (2):392-392.
Talking Nets: An Oral History of Neural Networks by James A. Anderson; Edward Rosenfeld. [REVIEW]Steve Heims - 1999 - Isis 90:392-392.
Community (net) work - James A. Anderson and Edward Rosenfeld (eds), talking nets: An oral history of neural networks (cambridge, MA, and London: MIT press, 1998), XI + 500 pp., ISBN 0-262-01167-0. Hardback £31.95. [REVIEW]J. Agar - 2001 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 32 (3):557-564.
Anderson, James and Rosenfeld, Edward (eds.), Talking Nets: An Oral History of Neural Networks. Cambridge, MA: MIT Press, 1998. Bahn, Paul G., The Cambridge Illustrated History of Prehistoric Art (= Cambridge Illustrated History). New York: Cambridge University Press, 1998. Barondes, Samuel H., Mood Genes: Hunting for Origins of Mania and Depression. New York. [REVIEW]Hugh Beyer, Karen Holtzblatt, D. L. Blank, Brian P. Bloomfield, Rod Coombs, David Knights, Dale Littler, Bob Carpenter & William E. Conklin - 2000 - Semiotica 128 (1/2):195-198.
Books etcetera-talking nets: An oral history of neural networks.Mark S. Seidenberg - 1999 - Trends in Cognitive Sciences 3 (3):120-121.
How a neural net grows symbols.James Franklin - 1996 - In Peter Bartlett (ed.), Proceedings of the Seventh Australian Conference on Neural Networks, Canberra. ACNN '96. pp. 91-96.
Some Neural Networks Compute, Others Don't.Gualtiero Piccinini - 2008 - Neural Networks 21 (2-3):311-321.
Vapnik-Chervonenkis dimension of neural nets.Wolfgang Maass - 1995 - In Michael A. Arbib (ed.), Handbook of Brain Theory and Neural Networks. MIT Press. pp. 1000--1003.
Out of their minds: Legal theory in neural networks. [REVIEW]Dan Hunter - 1999 - Artificial Intelligence and Law 7 (2-3):129-151.
What do neural nets and quantum theory tell us about mind and reality?P. Werbos - 2002 - In Kunio Yasue, Marj Jibu & Tarcisio Della Senta (eds.), No Matter, Never Mind: Proceedings of Toward a Science of Consciousness: Fundamental Approaches (Tokyo '99). John Benjamins. pp. 33--63.
On stability and solvability (or, when does a neural network solve a problem?).Stan Franklin & Max Garzon - 1992 - Minds and Machines 2 (1):71-83.
Dynamical learning algorithms for neural networks and neural constructivism.Enrico Blanzieri - 1997 - Behavioral and Brain Sciences 20 (4):559-559.
What are neural networks not good at? On artificial creativity.Anton Oleinik - 2019 - Big Data and Society 6 (1).
Evolving Self-taught Neural Networks: The Baldwin Effect and the Emergence of Intelligence.Nam Le - 2019 - In AISB Annual Convention 2019 -- 10th Symposium on AI & Games.
Activation clustering in neural and social networks.Marko Puljic & Robert Kozma - 2005 - Complexity 10 (4):42-50.

Analytics

Added to PP
2020-12-22

Downloads
11 (#1,110,001)

6 months
6 (#504,917)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references