[comp.ai.neural-nets] Transversed Bridging

<KVJLC@ASUACAD.BITNET> (06/28/91)

As a matter of curosity, I would like to know if anyone has worked with
the concept of Transversed Bridging of paths to obtain logic?

Specifically, consider the following:

A linear approach is limited in varying the logic capabilites of any
processor - IC, etc.  As with today's computers.  Speed up the processes
and you have a faster computer.  I/O, Memory, addressing has all been
enhanced considerably by the engineering breakthroughs that has effectively
reduced the volume of the IC.  Enough about the evolution of computers.

Putting conventioal wisdom aside, let's consider the evolution of tomorrows
computers or IC in another way.  I know of the work what AT&T is doing to
try and obtain logic from other means (Optical) and I generally understand
their approach to the problem of gate arrays from a visual medium.  This
area of work is very interesting and brings me back to the begining of my
posting and my question.

A couple of questions should put my question into prospective:

1. How many ways can any gate be changed from:
   a.  A single input source?
   B.  Multiple input sources?
   C.  An unknown variant - an alternate input source??

2. How can (fuzzy logic) a maybe gate be created from:
   A.  A gate array?
   B.  Nueral Net - synaps (bio algorymthic logic)??
   c.  Variant sources - uplink/downlink paths?

3. How can logic be created from a linear methodology when:
   a.  Three dimensional logic is abstract?
   B.  A series of completely random dispersed patterns of input
       would have to be measured against a static environment?
   c.  The input source would have to be somewhat consistent
       and measured against an inconsistent series of gates??


Frequency based logic is interesting in the approach to solve potential
AI deficiencies present in today's computer technology.  Taking this
concept further, how probable would it be to bridge logic paths by
introducing a variant independent input source?  From where is the big
question.  And has anyone been successful with this approach?

tedwards@aplcomm.JHUAPL.EDU (Edwards Thomas G S1A x8297) (07/01/91)

>Frequency based logic is interesting in the approach to solve potential
>AI deficiencies present in today's computer technology. 

One reason I find neuromorphic chips a very interesting realm of study is
that in order to develop large chips, one must specifically deal with
many of the "system properties" which brain has to deal with (e.g.
power dissipation, connectivity, processing asynchronies, 
computational parts which can vary in response).

Brain obviously performs most of its actions asyncronously.  However,
there is evidence that there are coherencies of oscillations within
visual cortex which may be important for performing neural computation.
An important system level problem is how to organize computations into
synchronous and asynchronous ones.

While many popular artificial neural models deal with settling into a
static attractor, brain shows considerable chaotic and limit-cycle behaviour.

-Tom
(please excuse my philosophizing)