Path: utzoo!utgpu!news-server.csri.toronto.edu!rutgers!att!news.cs.indiana.edu!marek@iuvax.cs.indiana.edu From: marek@iuvax.cs.indiana.edu (Marek W Lugowski) Newsgroups: comp.theory.cell-automata Subject: Missing the anthill for the ants? (was Re: RESEND Life Wars, Ants) Summary: look at paths! Keywords: not-ants :) Message-ID: <1991Feb17.101444.17544@news.cs.indiana.edu> Date: 17 Feb 91 15:14:31 GMT References: <9543@latcs1.oz.au> Organization: Computer Science, Indiana University, Bloomington. Lines: 36 All this talk of ants and my recent experiments with Computational Metabolism (C. Langton's _Artificial Life_, pp. 343-368), a tiling in motion, make me wonder about the utility of looking at ants through the prism of their final, or evolved, states. After all, these states are only fixed attractors with respect to the local conditions and the chaotic space. How much is there of interest, computationally, in such attractors? What can you learn from reaching them about any computation of interest, other than discrimination a la pattern recognition/categorization in the way of Widrow-Hoff or a steepest descent algorithm as found in simplest neural nets? That's boring... What I think is of interest is the path taken through the chaotic space. You may think of it as an informationally sensitive carrier wave, a la FM-modulation. There is enough richness specified in this path to encode a lot more than simple partition of the input space in a static recognition problem. For this you don't even need evolution to get started: I found out that for my tiles, which are no ants believe you me :), for different initial arrangements, under a particularly nasty set of rules that has the tiles leaping out of their little selves to wrap each species (color) around each other (you have to see the pictures...), I get stunningly different and beautifully chaotic paths to ...you guessed it, an attractor, one that, of course, I suspected anyway, since my rules don't change and I designed them for a square gworld and ran on a torus one. Now, if I could only learn how to modulate the path to effect an effective computation = controlled chaos... In summary, worry about paths in chaotic space and modulating them (and representing the process as a grammar, unfolding) instead of computing arrivals. Any thoughts, disagreements? -- Marek cc'ed to alife@iuvax.cs.indiana.edu, *the* mailing list :) (alife-request@iuvax for additions)