Brain and Mind 4 (2):169-188 (2003)

Abstract
This article discusses the properties of a controllable, flexible, hybrid parallel computing architecture that potentially merges pattern recognition and arithmetic. Humans perform integer arithmetic in a fundamentally different way than logic-based computers. Even though the human approach to arithmetic is both slow and inaccurate it can have substantial advantages when useful approximations ( intuition ) are more valuable than high precision. Such a computational strategy may be particularly useful when computers based on nanocomponents become feasible because it offers a way to make use of the potential power of these massively parallel systems. Because the system architecture is inspired by neuroscience and is applied to cognitive problems, occasional mention is made of experimental data from both fields when appropriate.
Keywords arithmetic  attractor  cognitive science  computation  data representation  network of networks  neural network
Categories (categorize this paper)
DOI 10.1023/A:1025453511640
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 62,513
Through your library

References found in this work BETA

The Psychology of Invention in the Mathematical Field.Jacques Hadamard - 1956 - British Journal for the Philosophy of Science 7 (26):177-179.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Parallel Architectures and Mental Computation.Andrew Wells - 1993 - British Journal for the Philosophy of Science 44 (3):531-542.
Deciding Arithmetic Using SAD Computers.Mark Hogarth - 2004 - British Journal for the Philosophy of Science 55 (4):681-691.
Relevant Robinson's Arithmetic.J. Michael Dunn - 1979 - Studia Logica 38 (4):407 - 418.
Computers.Gualtiero Piccinini - 2008 - Pacific Philosophical Quarterly 89 (1):32–73.
Quantum Mechanics and Computation.Bart D’Hooghe & Jaroslaw Pykacz - 2004 - Foundations of Science 9 (4):387-404.

Analytics

Added to PP index
2009-01-28

Total views
104 ( #102,621 of 2,446,472 )

Recent downloads (6 months)
1 ( #456,659 of 2,446,472 )

How can I increase my downloads?

Downloads

My notes