Path: utzoo!utgpu!jarvis.csri.toronto.edu!cs.utexas.edu!tut.cis.ohio-state.edu!ucbvax!decwrl!shelby!csli!ceb From: ceb@csli.Stanford.EDU (Charles Buckley) Newsgroups: comp.graphics Subject: Re: Fractals, and Philosophy of Science Message-ID: <11638@csli.Stanford.EDU> Date: 8 Jan 90 05:19:55 GMT References: <119.256E54C5@uscacm.UUCP> <1247@becker.UUCP> <9144@cbmvax.commodore.com> <6780@lindy.Stanford.EDU> <9215@cbmvax.commodore.com> <12707@phoenix.Princeton.EDU> <1990Jan6.122804.21949@jarvis.csri.toronto.edu> <6937@lindy.Stanford.EDU> Sender: ceb@csli.Stanford.EDU (Charles Buckley) Organization: Center for the Study of Language and Information, Stanford U. Lines: 26 In-reply-to: rick@hanauma.stanford.edu's message of 6 Jan 90 20:00:03 GMT In article <6937@lindy.Stanford.EDU> rick@hanauma.stanford.edu (Richard Ottolini) writes: >Don't abandon "new age" mathematics such as fractals nor worship it. >Sometimes years later something will escape from recreational >mathematics and be useful. Two examples: >(1) Cellular automata are a serious competitor to differential equations >for modeling waves and fluids . . . >(2) In computer graphics, quaternian transforms may be superior >to homogeneous coordinates for modeling transformations. Well, not so fast: 1. the applications of cellular automata you cite are easily relatable to differential equations, and anyway CA have been respected for some time - the chief obstacle to their use was simply a lack of hardware. Differential equations (at least some of them) were solvable by hand, and there are tricks you could use when they weren't, so they grew popular when computers were only jokes on and built by the military. 2. Quaternia (singular: quaternion) have also been respectable for quite some time - the chief obstacles to their widespread use were a perceived obscurity and lack of perceived need, plus the fact that much of the best work describing them was done in the Russian hinterlands, and remained obscure due to societal chaos for many years. Fractals are irksome to so many because they produce stunning results similar to those of phenomena we don't well understand, and no one can really say why. This was not true of your companion examples.