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From: bandekar@ztivax.UUCP
Newsgroups: net.ai
Subject: Re: Orphaned Response - (nf)
Message-ID: <2600002@ztivax.UUCP>
Date: Tue, 7-Oct-86 11:52:00 EDT
Article-I.D.: ztivax.2600002
Posted: Tue Oct  7 11:52:00 1986
Date-Received: Wed, 8-Oct-86 22:38:21 EDT
References: <360@unido.UUCP>
Lines: 21
Nf-ID: #R:unido:-36000:ztivax:2600002:37777777600:1238
Nf-From: ztivax!bandekar    Oct  7 16:52:00 1986


 I see some difficulties in using mathematical models of technical systems
 as a source of deep knowledge.  Mathematical models are usually derived
 from the structural information about the devices, and one particular mo-
del can represent more that one physical device.  But I guess the approach
would not be impossible as long as you can derive your device structure
from your mathematical model.  For example transfer function of several devices
may be mathematically expressed in the same way.  For multiple input/output
plants the choice of state variables varies for state space representation.
Which variables are affected if a particular physical component is defective
and the causal ordering of the variables could be a valuable piece of know-
ledge for the purpose of diagnosis.  Here, if you can map your model into
structural equations you may compute the causal ordering of the state variables.[Iwasaki,Simon '86].  Hierarchical representation of the technical systems
is always useful.  The concept of views[Struss, 86  to be presented at Sydney
Univ. during Feb. 1987] is also important.  If you can tell me more about your
problem, I may be able to help out.
my address: ... unido!ztivax!bandekar

Vijay Bandekar
:w
:q