Path: utzoo!attcan!uunet!lll-winken!lll-lcc!lll-tis!helios.ee.lbl.gov!pasteur!ucbvax!husc6!rutgers!ucla-cs!august From: august@oahu.cs.ucla.edu (Stephanie August) Newsgroups: comp.ai Subject: Re: A reference on use of alternative metaphors/analogies Keywords: analogy, metaphor, knowledge acquisition, learning Message-ID: <17534@shemp.CS.UCLA.EDU> Date: 3 Nov 88 21:16:01 GMT References: <488@gould.doc.ic.ac.uk> Sender: news@CS.UCLA.EDU Reply-To: august@cs.ucla.edu (Stephanie August) Organization: UCLA Computer Science Department Lines: 33 In article <488@gould.doc.ic.ac.uk> sme@doc.ic.ac.uk (Steve M Easterbrook) writes: >Hi. I am trying to recall the reference to a paper I read a while ago >which discussed the use of analogies in learning. In particular this >paper showed how different metaphors can be used to illustrate different >features of the same concept. I think the example used was that of the >behaviour of gas molecules, using such metaphors as crowded rooms, etc >to help understand such concepts as pressure. The article you want is Gentner, Dedre, and Gentner, Donald R. (1983) Flowing Waters or Teeming Crowds: Mental Models of Electricity. In Dedre Gentner and Albert L. Stevens (Eds.), _Mental Models_. Hillsdale, N.J.: Lawrence Erlbaum Associates. p.99 >Or it might have been the >one which used an example of explaining how a variable works by >comparing it to a box, amongst other things. You might also be thinking of the programming examples in papers on the GRAPES simulation of John Anderson's ACT theory of learning. See: Anderson, John R. (1986) Knowledge compilation: the general learning mechanism. In R.S. Michalski, J.G. Carbonell, and T.M. Mitchell (Eds.), _Machine Learning: An Artificial Intelligence Approach_, Kaufmann, Los Altos CA. Anderson, John R., Farrell, Robert, and Sauers, Ron. (1984) Learning to Program in LISP. _Cognitive Science_, 8, 87-129. -- Stephanie E. August Computer Science Dept, UCLA