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- Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
- Path: sparky!uunet!gatech!usenet.ins.cwru.edu!news.ysu.edu!psuvm!auvm!EID.ANL.GOV!GABRIEL
- Message-ID: <9212150409.AA02641@athens.eid.anl.gov>
- Newsgroups: bit.listserv.csg-l
- Date: Mon, 14 Dec 1992 22:09:02 CST
- Sender: "Control Systems Group Network (CSGnet)" <CSG-L@UIUCVMD.BITNET>
- From: John Gabriel <gabriel@EID.ANL.GOV>
- Subject: Re: Theory
- Lines: 93
-
- [gabriel 921214 21:46]
-
- I love 'em. And although I masquerade as a mathematician, much of what
- I do might be engineering. I think every engineer I know will have
- enormous recognition reflexes about this, also all the good teachers,
- managers, and leaders of all kinds. Perhaps the other two of the
- gang of 3 will risk their mgrs' wrath and post them on bulletin
- boards (the paper kind). No use posting at Argonne. The worst
- place of all to preach is among those who (mistakenly) believe
- they are converted.
-
- Marian - do you want to expound on the Hugh Dingle stages of
- development of a scientific theory - from bird watching to taxonomy
- to Newton, F=ma and Einstein?? Look in my .mailrc for the csgnet
- alias if you do.
-
- A small mathematician/logician's nitpick. Besides deduction, there
- is induction. Both are actually predictive - Kepler's Laws
- demonstrate a central acceleration proportional to the inverse
- square distance with a universal constant of proportionality for
- the planets observed. That's deduction. The induction is the
- Gedanken experiment of putting a hypothetical planet in place
- and remarking that it may be any material object.
-
- Would you say that inferring Pythagoras' Theorem from some
- simpler propositions was predictive. Moot point. Was it true
- all along before anybody even mentioned the topic. Hence
- Diodorus, and the stone at the bottom of the ocean that is
- not, has not, and never will be seen. Or the tree in the
- forest. But probably not the sound of one hand clapping.
-
- Actually I have real trouble distinguishing between deductive
- and inductive reasoning, just as I do between forward and
- backward reasoning - probably one of those blind spots we all
- have.
-
- So. Bottom line. I am a bit uncomfortable about your N/A entries.
- But otherwise absolutely delighted.
-
- >(From Dag Forssell (921214))
-
- >Here is a slide from a presentation I am planning. I want to highlight
- >the common (I perceive) bias aganist theory.
-
- >---------------------------------------------------------------------
-
- > What does "THEORY" mean to you?
-
-
- > APPROACH LEVEL OF TYPE OF
- > TO THEORY SCIENCE KNOWLEDGE
-
- >Type 1 Hunch, expectation Common sense / What works
- > based on experience. Statistical (sometimes)
- > Intuitive / Formal research
-
- >Type 2 Explanation, Engineering Why it works
- > prediction, test. science (all the time)
-
-
- >Type 3 Logical reasoning. Abstract Abstraction
- > science
-
- >---------------------------------------------------------------------
- >Continued to the right.
-
- > METHOD OF TIME TO PREDICTION RESULTS
- > LEARNING LEARN CAPABILITY
-
- >..1 Trial & error / Long Poor Spotty
- > data collection
-
-
- >..2 Create theory, Short Excellent Confident
- > test theory
-
-
- >..3 Deduction Short N/A N/A
-
- >----------------------------------------------------------------------
-
- >The idea here is to help the audience realize that when they say: "Don't
- >bore us with theory, show us what to do," what they object to is what
- >seems like useless abstractions. By contrast, a good engineering type
- >theory is very useful.
-
- >QUESTION:
-
- >Do you think that a mixed audience will relate to these "definitions" of
- >theory and level of science? Any suggestions on rewording, ever so small,
- >which will help will be appreciated.
-
- >Thanks, Dag
-