Field computation in natural and artificial intelligence

被引：28

作者：

MacLennan, BJ ^{[1
]}

机构：

[1] Univ Tennessee, Dept Comp Sci, Knoxville, TN 37916 USA

来源：

INFORMATION SCIENCES | 1999年 / 119卷 / 1-2期

关键词：

field computation; continuum computation; analog computation; quantum computer; quantum computation; information field; information; superposition; diffusion; continuous representation; subsymbolic; Hilbert space; Bohm; Hiley; pribram; active information; computational map; cortical map; phase; phase encoding; convolution; Gabor; wavelet; uncertainty principle; coherent state; quantum mechanics; logon; multiresolution; direction field; field computer; radial basis function; RBF; coarse coding; pragmatics; pragmatic information; quantum potential; symbol; discrete; optical computing; optical computer; molecular computing; molecular computer;

D O I：

10.1016/S0020-0255(99)00053-5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We review the concepts of field computation, a model of computation that processes information represented as spatially continuous arrangements of continuous data. We show that many processes in the brain are described usefully as field computation. Throughout we stress the connections between field computation and quantum mechanics, especially including the important role of information fields, which represent by Virtue of their form rather than their magnitude. We also show that field computation permits simultaneous nonlinear computation in linear superposition. (C) 1999 Elsevier Science Inc. All rights reserved.

引用

页码：73 / 89

页数：17

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