[comp.ai.digest] determinism a dead issue?

bnevin@CCH.BBN.COM (Bruce E. Nevin) (06/20/88)

Date: Fri, 17 Jun 88 08:42 EDT
From: Bruce E. Nevin <bnevin@cch.bbn.com>
Subject: determinism a dead issue?
To: ailist@ai.ai.mit.edu
cc: bn@cch.bbn.com

Is the notion of determinism not deeply undercut by developments in
study of nonlinearity and Chaos?

There is sufficient nonlinearity in the workings of brains, bodies, and
interacting agents in the world to ensure that simple billiard ball
click click click in the pocket determinism is not even an
approximation.

There seems to me a parallel to Bateson's discussion of creatura vs
pleroma, terms borrowed from Jung.  If I remember correctly which is
which, creatura is the deterministic cause-effect realm amenable to
description in simple, linear, Newtonian terms; pleroma (the term
derives from a root having to do with "fullness", as in "plenary
session") involves metabolism, where outputs are not directly
predictable from inputs in terms of forces and impacts and what Bateson
elaborates as "cybernetic explanation" applies.  He argued that imagery
of forces and impacts were inappropriate for most of what is important
to us.  He was not aware of or at any rate did not write about
the relationship of this to nonlinearity and chaos before his death.

What is the relationship between the two?  Is it the case that systems
involving nonlinearity always involve feedback or feedforward loops?  My
impression from reading is yes.  (Isn't it mutual effect of the values
of two or more variables on one another that makes an equation
nonlinear, and isn't that a way of expressing feedback or feedforward?
The effect of friction in a physical system varies according to
velocity, even as it affects velocity.)  Is it the (stronger) case that
systems with such cybernetic loop structure always involve nonlinearity?
No, computers are generally advertised as deterministic.  Is it that
nonlinear systems are not error correcting?  Or perhaps that they are
analog rather than digital systems?  Are massively parallel systems
nonlinear, or do they tend to be?  Does the distinction apply to now
familiar characterizations of brain hemisphere specialization?

This has relevance to how an AI based on deterministic, linear systems
can do what nonlinear organisms do.

Bruce Nevin
bn@cch.bbn.com
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