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John, it is your use of "approximation" to characterize ALL models without exception here that I object to. Of course, depending on what it in the world one is trying to represent, a model *might* necessarily be an approximation, especially if one is modeling physical phenomena that are inherently vague or (in effect) infinitely complex and hence which simply cannot be represented with 100% accuracy. Consider, e.g., modeling a stochastic process or fluid flow by means of probability theory or differential equations. However, many physical situations involve, *at a desired level of granularity*, NO vagueness and NO intractable complexity at all, as in my previous example involving faculty and administrators at Texas A&M. Many ontologies involve this kind of sharply delineated, unambiguously representable information. Your diagram above belies this fact and suggests that models are always in some way false or inaccurate. It just ain't so. (01) Chris Menzel (02) _________________________________________________________________ Message Archives: http://ontolog.cim3.net/forum/ontolog-forum/ Subscribe/Config: http://ontolog.cim3.net/mailman/listinfo/ontolog-forum/ Unsubscribe: mailto:ontolog-forum-leave@xxxxxxxxxxxxxxxx Shared Files: http://ontolog.cim3.net/file/ Community Wiki: http://ontolog.cim3.net/wiki/ To Post: mailto:ontolog-forum@xxxxxxxxxxxxxxxx (01) |
