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Field Computation Bibliography

Directory

Papers Authored or Co-authored by Bruce MacLennan

  1. ``Field Computation in Motor Control'' (postscript form), by Bruce MacLennan, invited for Self-Organization, Computational Maps and Motor Control, ed. by Pietro G. Morasso and Vittorio Sanguineti, Elsevier-North Holland, in press. A version of this paper is available as hypertext (although it contains a few glitches). - New!

  2. ``A Computationally Universal Field Computer That is Purely Linear,'' University of Tennessee, Knoxville, Department of Computer Science Technical Report CS-93-206, September 14, 1993, 28 pp.; by David H. Wolpert and Bruce J. MacLennan. Also Santa Fe Institute Technical Report 93-09-056. This paper proves a particular field computer (a spatial continuum-limit neural net) governed by a purely linear integro-differential equation is computationally universal.

  3. ``Field Computation in the Brain,'' (postscript) by Bruce J. MacLennan, University of Tennessee, Knoxville, Department of Computer Science Technical Report CS-92-174, October 1, 1992, 35 pages. Continuous information representation and processing, field-based theories of sensorimotor intentions and of model-based deduction.

  4. ``Research Issues in Flexible Computing: Two Presentations in Japan,'' by Bruce J. MacLennan, University of Tennessee, Knoxville, Department of Computer Science Technical Report CS-92-172, September 4, 1992, 17 pages. The text of two presentations made in Japan both of which deal with the Japanese "Real World Computing Project" (informally known as the "Sixth Generation Project")

  5. ``Continuous Spatial Automata,'' by Bruce J. MacLennan, University of Tennessee, Knoxville, Department of Computer Science Technical Report CS-90-121, November 1990, 9 pages. Definition of continuous spatial automata, in which the cells and their states form a continuum; continuous "Life" as an example. A sequence of example states is also available.

  6. ``Field Computation: A Theoretical Framework for Massively Parallel Analog Computation, Parts I-IV,'' by Bruce J. MacLennan, University of Tennessee, Knoxville, Department of Computer Science Technical Report CS-90-100, February 1990, 62 pages. This report presents a theoretical framework for understanding and designing massively parallel analog computers. The theory treats computations as continuous transformations of fields which are continuous assemblies of continuous values data.

  7. ``Continuous Computation: Taking Massive Parallelism Seriously,'' by Bruce J. MacLennan, poster presentation, Los Alamos National Laboratory Center for Nonlinear Studies 9th Annual International Conference, Emergent Computation, Los Alamos NM, May 22-26, 1989. Also University of Tennessee, Knoxville, Department of Computer Science Technical Report CS-89-83, June 1989, 13 pages.

  8. ``Outline of a Theory of Massively Parallel Analog Computation,'' by Bruce J. MacLennan, poster presentation at IEEE/INNS International Joint Conference on Neural Networks, Washington, D.C., June 18-22, 1989. Abstract in proceedings, Vol II, p. 596. Also University of Tennessee, Knoxville, Department of Computer Science Technical Report CS-89-84, June 1989, 23 pages.

  9. ``Field Computation: A Model of Massively Parallel Computation in Electronic, Optical, Molecular and Biological Systems,'' by Bruce J. MacLennan, extended abstract in Proceedings of AAAI Spring Symposium, Parallel Models of Intelligence: How Can Slow Components Think So Fast?, Stanford, March 22-24, 1988, pp. 180-183.

  10. ``Field Computation and Nonpropositional Knowledge,'' by Bruce J. MacLennan, Naval Postgraduate School Technical Report NPS52-87-040, September 1987, 31 pages.

  11. ``Technology-Independent Design of Neurocomputers: The Universal Field Computer,'' by Bruce J. MacLennan, IEEE First Annual International Conference on Neural Networks, June 21-24, 1987. Appears in Proceedings, IEEE First International Conference on Neural Networks, Vol. III, pp. 39-49.

Papers Authored or Co-authored by Jonathan Mills

  1. Jonathan W. Mills, The Continuous Retina: Image Processing with a Single-sensor Artificial Neural Field Network. Indiana Univ. Comp. Sci. TR 443 (November 1995) 6 pgs.

  2. Jonathan Mills, Programmable VLSI Extended Analog Computer for Cyclotron Beam Control. Indiana Univ. Comp. Sci. TR 441 (September 1995) 9 pgs.

  3. Robert A. Montante and Jonathan W. Mills. Measuring information capacity in a VLSI analog logic circuit. (March 1993). REVISION with new title: Probabilistic error correction in arbitrarily large Lukasiewicz logic arrays. Indiana Univ. Comp. Sci. TR 377 (April 1993). 15pgs.

Other Papers

  1. Bournez, Olivier, & Cosnard, Michel. On the computational power and super-Turing capabilities of dynamical systems. Research Report No. 95-30, Laboratoire de l'Informatique du Parallelisme, Ecole Normale Superieure de Lyon, October 23, 1995.

  2. ``Field Computer Simulator User's Guide,'' by Tomislav Goles, University of Tennessee, Knoxville, Department of Computer Science Technical Report CS-90-124, December 1990, 42 pages. This report describes a simulator for a general purpose field computer. The simulator is implemented as an extension of Common LISP, and provides a set of field transformation operators that we believe will be useful for programming practical applications. A tar file of the LISP source is also available.

  3. Pour-El, M. B. Abstract Computability and its Relation to the General Purpose Analog Computer. Transactions of the American Mathematical Society 199 (1974), 1-29.

  4. Rubel, Lee A. The Brain as an Analog Computer, Journal Theoretical Neurobiology 4 (1985), 73-81.

  5. Rubel, Lee A. Digital Simulation of Analog Computation, and Church's Thesis. The Journal of Symbolic Logic 54, 3 (Sept. 1989), 1011-1017.

  6. Rubel, Lee A. The Extended Analog Computer. Advances in Applied Mathematics 14 (1993), 39-50.
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Last updated: Fri Oct 30 00:10:40 EST 1998