[net.ai] AI thru simulated evolution

keithd@cadovax.UUCP (Keith Doyle) (05/15/85)

[..........]

Anyone on the net using John Fogel's "Artificial Intellegence Through
Simulated Evolution" as a basis for R&D work?  One of our guys here who
dosen't have his UNIX account yet is interested in learing more about
this approach to AI, and was wondering if there is anyone out there
who's interested in communicating on the subject.

Keith Doyle
#  {ucbvax,ihnp4,decvax}!trwrb!cadovax!keithd

holte@brueer.UUCP (Robert Holte) (05/27/85)

> Anyone on the net using John Fogel's "Artificial Intellegence Through
> Simulated Evolution" as a basis for R&D work?
>
> Keith Doyle
>  {ucbvax,ihnp4,decvax}!trwrb!cadovax!keithd


There are two different approaches to simulated evolution:
(1) evolution by mutation and selection, and
(2) evolution by selective reproduction.

Type-1 systems are receiving considerable attention these days, in the
guise of simulated annealing and Boltzmann machines. Some mainstream
AI learning systems employ variations of Type-1 evolution, the systems
of Doug Lenat being the clearest example. I believe Fogel et al. took
a type-1 approach to simulated evolution.

Type-2 systems are less well known. The principal figure here is John Holland
(U. of Michigan at Ann Arbor). He and his students have been studying the
theory and application of "Genetic Algorithms" (Holland's term
for type-2 systems) since the 60's.  Theoretically, genetic algorithms
have several significant advantages over type-1 systems.
In some applications, practical considerations can favour type-1
systems despite their theoretical shortcomings.


Here at Brunel, Michael Fourman (same addresses as me but "michael" instead
of "holte") has begun experimenting with Genetic Algorithms for some
aspects of VLSI design: we are quite impressed with their behaviour on a
simplified symbolic layout task.

There will be a conference on Genetic Algorithms and Their Applications in
late July at Carnegie-Mellon: for information about this conference
contact Stephen F. Smith (ARPA address: sfs@cmu-ri-isl1).

I would like to make contact with anyone working with learning systems,
evolutionary ot otherwise.

- Rob Holte	ARPA: holte%brueer@ucl-cs.arpa
		UUCP: ...!mcvax!ukc!reading!brueer!holte

REFERENCES:
John H. Holland, "Adaptation in Natural and Artificial Systems,"
	U. of Michigan Press, Ann Arbor, 1975
John H. Holland, pp. 263-293 in "Progress in Theoretical Biology"
	vol. 4, Robert Rosen & Fred Snell (eds), Academic Press, 1976
Douglas B. Lenat, pp. 243-306 in "Machine Learning", R.S. Michalski,
	J.G. Carbonell & T.M. Mitchell (eds), Tioga Press, 1983