Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!mnetor!uunet!seismo!sundc!pitstop!sun!decwrl!labrea!jade!ucbvax!fish.cis.ufl.EDU!fishwick From: fishwick@fish.cis.ufl.EDU (Paul Fishwick) Newsgroups: comp.ai.digest Subject: Gilding the Lemon Message-ID: <8710301445.AA10702@fish> Date: Fri, 30-Oct-87 09:45:45 EST Article-I.D.: fish.8710301445.AA10702 Posted: Fri Oct 30 09:45:45 1987 Date-Received: Fri, 6-Nov-87 23:00:38 EST Sender: daemon@ucbvax.BERKELEY.EDU Organization: The ARPA Internet Lines: 38 Approved: ailist@kl.sri.com ...From Ken Laws... > Progress also comes from applications -- very seldom from theory. > The "neats" have been worrying for years (centuries?) about temporal > logics, but there has been more payoff from GPSS and SIMSCRIPT (and > SPICE and other simulation systems) than from all the debates over > consistent point and interval representations. The applied systems > are ultimately limited by their ontologies, but they are useful up to > a point. A distant point. I'd like to make a couple of points here: both theory and practice are essential to progress; however, too much of one without the other creates an imbalance. As far as the allusion to temporal logics and interval representations, I think that Ken has made a valuable point. Too often an AI researcher will write on a subject without referencing non-AI literature which has a direct bearing on the subject. An illustration, in point, is the reference to temporal representations - If one really wants to know what researchers have done with concepts such as *time*, *process*, and *event* then one should seriously review work in system modeling & control and simulation practice and theory. In doing my own research I am actively involved in both systems/simulation methodology and AI methods so I found Ken's reference to GPSS and SPICE most gratifying. What I am suggesting is that AI researchers should directly reference (and build upon) related work that has "non-philosophical" origins. Note that I am not against philosophical inquiry in principle -- where would any of us be without it? The other direction is also important - namely, that reseachers in more established areas such as systems theory and simulation should look at the AI work to see if "encoding a mental model" might improve performance or model comprehensibility. Paul Fishwick University of Florida INTERNET: fishwick@fish.cis.ufl.edu -------