Field computation and nonpropositional knowledge
By: Bruce J. MacLennan
Contributors: Naval Postgraduate School (U.S.)
Publisher: Naval Postgraduate School
Published: 1987
Place of publication: Monterey, California
Language: eng
Number of pages: 34
Subjects: Optical Computers; Neural computers; Artificial intelligence; Molecular computers
Description: Most current AI technology has been based on propositionally represented theoretical knowledge. It is argued that if AI is to accomplish its goals, especially in the tasks of sensory interpretation and sensorimotor coordination, then it must solve the problem of representing embodied practical knowledge. Biological evidence shows that animals use this knowledge in a way very different form digital computation. This suggests that if these problems are to be solved, then we will need a new breed of computers, which we call field computers. Examples of field computers are: neurocomputers, optical computers, molecular computers, and any kind of massively parallel analog computer. The author claims that the principle characteristic of all these computers is their massive parallelism, but we use this term in a special way. He argues that true massive parallelism comes when the number of processors is so large that it can be considered a continuous quantity. Designing and programming these computers requires a new theory of computation, one version of which is presented in this paper. Described is a universal field computer, that is, a field computer that can emulate any other field computer. It is based on a generalization of Taylor's theorem to continuous dimensional vector spaces. A number of field computations are illustrated, including several transformations useful in image understanding, and a continuous version of Kosko's bidirectional associative memory.
Notes: Title from cover.

"Prepared for: Chief of Naval Research"--Cover.

"September 1987"--Cover.

"NPS-52-87-040"--Cover.

DTIC Identifiers: Field computers, Knowledge representation.

Author(s) subject terms: Neurocomputers, neural networks, optical computers, molecular computers, field computers, universal field computer, associative memory, parallel processing, massive parallelism.

Includes bibliographical references (p. 31).

"Approved for public release; distribution unlimited"--Cover.

Technical report; 1987.

kmc/kmc 11/4/09.