Computational properties of use to biological organisms or to the construction of computers can emerge as collective properties of systems having a large number of simple equivalent components (or neurons). The physical meaning of content-addressable memory is described by an appropriate phase space flow of the state of a system. A model of such a system is given, based on aspects of neurobiology but readily adapted to integrated circuits. The collective properties of this model produce a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size. The algorithm for the time evolution of the state of the system is based on asynchronous parallel processing. Additional emergent collective properties include some capacity for generalization, familiarity recognition, categorization, error correction, and time sequence retention. The collective properties are only weakly sensitive to details of the modeling or the failure of individual devices.

part 1|59 pages

Feynman’s Course on Computation

chapter 1|4 pages

Feynman and Computation

ByJohn J. Hopfield

chapter 3|8 pages

Feynman as a Colleague

ByCarver A. Mead

chapter 4|15 pages

Collective Electrodynamics I

ByCarver A. Mead

chapter 5|2 pages

A Memory

ByGerald Jay Sussman

chapter 6|13 pages

Numerical Evidence that the Motion of Pluto is Chaotic

ByGerald Jay Sussman

part 2|70 pages

Reducing the Size

chapter 7|14 pages

There’s Plenty of Room at the Bottom

ByRichard Feynman

chapter 8|16 pages

Information is Inevitably Physical

ByRolf Landauer

chapter 9|23 pages

Scaling of MOS Technology to Submicrometer Feature Sizes

ByCarver A. Mead

chapter 10|14 pages

Richard Feynman and Cellular Vacuum

ByMarvin Minsky

part 3|91 pages

Quantum Limits

chapter 11|21 pages

Simulating Physics with Computers

ByRichard P. Feynman

chapter 12|21 pages

Quantum Robots

ByPaul Benioff

chapter 13|14 pages

Quantum Information Theory

ByCharles H. Bennett

chapter 14|31 pages

Quantum Computation

ByRichard J. Hughes

part 4|83 pages

Parallel Computation

chapter 15|16 pages

Computing Machines in the Future

ByRichard P. Feynman

chapter 16|16 pages

Internetics: Technologies, Applications and Academic Fields

Parallel Computing and Computational Science Do Not Quite Work
ByGeoffrey C. Fox, Richard Feynman

chapter 17|9 pages

Richard Feynman and the Connection Machine

ByW. Daniel Hillis

chapter 18|39 pages

Crystalline Computation

ByNorman Margolus

part 5|104 pages


chapter 19|28 pages

Information, Physics, Quantum: The Search for Links

ByJohn Archibald Wheeler

chapter 21|44 pages

Action, or the Fungibility of Computation

ByTommaso Toffoli