Universal computation in fluid neural networks

Complexity 2 (2):49-56 (1996)
  Copy   BIBTEX

Abstract

Fluid neural networks can be used as a theoretical framework for a wide range of complex systems as social insects. In this article we show that collective logical gates can be built in such a way that complex computation can be possible by means of the interplay between local interactions and the collective creation of a global field. This is exemplified by a NOR gate. Some general implications for ant societies are outlined. ©

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,202

External links

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

Through your library

Similar books and articles

Some Neural Networks Compute, Others Don't.Gualtiero Piccinini - 2008 - Neural Networks 21 (2-3):311-321.
Out of their minds: Legal theory in neural networks. [REVIEW]Dan Hunter - 1999 - Artificial Intelligence and Law 7 (2-3):129-151.
Neural computation, architecture, and evolution.Paul Skokowski - 1997 - Behavioral and Brain Sciences 20 (1):80-80.
The Resilience of Computationalism.Gualtiero Piccinini - 2010 - Philosophy of Science 77 (5):852-861.
How do connectionist networks compute?Gerard O'Brien & Jonathan Opie - 2006 - Cognitive Processing 7 (1):30-41.
Transcending Turing computability.B. J. Maclennan - 2003 - Minds and Machines 13 (1):3-22.
Neural and super-Turing computing.Hava T. Siegelmann - 2003 - Minds and Machines 13 (1):103-114.

Analytics

Added to PP
2013-11-21

Downloads
34 (#443,903)

6 months
2 (#1,136,865)

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