Relating to the Work of People, Places, Books and Papers

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Relating to the Work of People, Places, Books and Papers relating to the work of People, Places, Books and Papers : Ralph Abraham, PhD: Dr. Ralph Abraham, professor emeritus of mathematics at the University of California, Santa Cruz, has been a great inspiration to me. I met Ralph at a conference in 1991, and credit him with encouraging me to believe in myself enough to leave my job and strike out on my own, leading among other things to writing my evolutionary art system. I derive much of my fascination with computer models of dynamical systems from Ralph's writings and conversations with him. As he stated once: "When we see these computer generated spacetime patterns of chaotic cooperation on the computer screen, we recognize them. We have seen them in our dreams. We have seen them in our telescopes. We have seen them in our microscopes: the universal language of spacetime pattern, which is the subject of the mathematics of tomorrow." (emphasis added; see longer quotation in my statement of philosophy) Though my own efforts are a far cry from Ralph's supercomputer simulations, his comments resonate with my feelings about my own images, and the elements of deterministic chaos in some of them are indeed evocative of Ralph's spacetime patterns. Click here to jump to Ralph's homepage, or here for the Visual Math Institute homepage. Ralph's use of computer graphics to visualize dynamical systems (chaoscopes), writings on morphodynamics, and experiments with chymatics to study vibrations and rarefactions in fluid media suggest to me that it might be possible to construct an apparatus to function as a putative `archetype camera'. See also Sheldrake. Ruth G. Applegarth I cannot write these webpages without acknowledging my mother's influence and support. I have certainly benefited from Ruth's wide-ranging knowledge, including her personal remembrances of Aldous Huxley and Gerald Heard around mid- century, and a general Jungian outlook. Richard Dawkins, PhD. Dawkins' books on evolution have been very helpful to me in understanding some of the subtleties of Darwinian evolution. Dawkins also wrote the first computer software that caused virtual organisms to evolve under guided selection to produce line-drawing graphic figures (see The Blind Watchmaker). Karl Sims credits Richard Dawkins with some of his own inspiration. I was initially led to Dawkins' The Selfish Gene by a passage in Rupert Sheldrake's The Presence of the Past, quoting Dawkins' introduction of the term meme. Since then memes have become a popular concept, and I see visual memes replicating throughout the graphic arts and commercial advertising worlds everywhere. Evolutionary art could give us a new tool for studying meme propagation, since visual elements may be selected by people for inclusion (replication) in different forms, but also by passing around and mutating the genetic expressions from which they derive. This would require an international standard of visual image genetic representation. How likely might another evolutionary artist be to replicate one of my images by guessing at my `nucleotides' or building blocks and attempting to retrace their evolution? Richard Dawkins once offered $1000 to anyone who could re-evolve an image of a chalice he had bred in his Biomorph Land (reported in Out of Control, p. 269) - and lost his bet within a year. But I agree with Kevin Kelly's analysis that it was the secondary biological nature of biomorphs that permitted the chalice to be rediscovered - that, and the size of the search space. Perhaps a real mathematician could calculate the odds for me; I'm currently using some 120 `genes', hence a 120- dimensional search space, with hundreds of additional parameters setting initial conditions, and zillions of choices made during evolution by a pseudorandom number generator, dependent on the seed I assigned it for each run, not to mention all my own aesthetic fitness score assignments and later color post-processing... that, and the fact that an image such as In the Beginning has a history of prior evolution going back thousands of generations over three years. I'd be happy to offer $2000 of my own to someone able to re-evolve In the Beginning down to some specifiable error tolerance once this thing gets going, and the right forum appears. Murray Gell-Mann, PhD, Nobel laureate in physics A cofounder of the Santa Fe Institute, Gell-Mann's book The Quark and the Jaguar has been influential in helping me understand complex adaptive systems. I have to agree with his comment about the process of evolving images being addictive (p.299). And I am now putting my own artwork to the test of a higher order complex adaptive system by placing it in the marketplace. As Gell-Mann indicated, failure would mean pleasing myself with these images but, like a dilettante horse breeder, enjoining in a maladaptive process. Failure in the next year or two would also prevent me from continuing to support my expensive computer habit and pursuing my consuming interest in furthering evolutionary simulation and artwork. John Holland, PhD. Professor Holland of the University of Michigan and the Santa Fe Institute basically invented the field of genetic algorithms. I currently employ a genetic strategy in the lineage of John Koza's tree-shaped "chromosomes", but that lineage traces its own ancestry back to that of Holland. His book Hidden Order is an accessible treatment of how adaptation can build complexity from a simple starting point. Aldous Huxley One of the giants of English literature, Huxley's writings, and lectures as recalled by my mother, have had a profound influence on me. In his last decade of life Huxley practiced and advocated for certain individuals a style of safe, infrequent, and responsible use of what are now called `entheogens' (a certain class of psychoactive substances) with which I largely credit my remission from debilitating rheumatoid arthritis some ten years ago. Without that remission, along with the extensive hand surgery it enabled, I would have been unable to function as a computer programmer generating evolutionary art. Stuart Kauffman, PhD, MacArthur Fellow Kauffman's influence on me is far-reaching. When I first heard him talk and later read his books, I realized that he was articulating beautifully an intuitive feeling I had always had that the increasing order and complexity throughout the evolution of the Universe since the Big Bang was itself "built-in" to the whole process, not some chance or unlikely event. I firmly believe that Kauffman's search for fundamental underlying principles of order and self-organization will bear rich fruit beyond its already impressive achievements. Kauffman's description of the vast space of possible proteins that could be manufactured, compared to the relatively tiny number that have been manufactured by Earthly organisms - or that could possibly have been manufactured by hypothetical organisms working feverishly around the clock on planets all over the Universe in the 12 billion years or so since the Big Bang - is relevant to a discussion of evolutionary art. Some might argue that because we are creating images on a computer using a finite number of mathematical "genes" or "nucleotides", of finite genome size, we are merely prospecting for a smallish number of forms and shapes that anyone might uncover given enough time. I would refer anyone thinking in that manner to Kauffman's book - the space of possible artforms that can be evolved in a computer is so vast that only the most limited, primitive forms are likely to be evolved more than once. I tend to create hyperspaces of hundreds of dimensions of art-genomic space, a labyrinth of possible images so huge I could never hope to view even a fraction of them if I had millions of lifetimes in which to do it. It would be most interesting, however, to be proven wrong; see Dawkins' Challenge. One of my "back-burner" projects involves experimenting with Kauffmanian NK networks as part of a different kind of evolutionary art system. Kevin Kelly Executive editor of Wired Magazine, Kelly first came to my attention at MIT during the Artificial Life IV conference. His book Out of Control had just been published, and I found it a refreshing survey of the developing fields of ecosystem theory, complexity, and artificial life. Kelly's Chapter 14, "In the Library of Form", is all about evolutionary art and raises very interesting questions about the existence of form as an infinite library of eternal Platonic forms that may be best searched for using the principles of variation and selection. In my opinion Kelly not only pulled together the right material on this emerging new view of the world in Out of Control, but he added to the debate with his own speculations and insights. Wired magazine (3.12, December 1995) printed an article on me and the process I use, based on a packet of slides and descriptive materials I sent Kelly. I was later asked to create an Absolut Rooke artwork, which appeared on the back of Wired in April and November, 1996 (4.04 & 4.11). For an interactive evolutionary art experience on the Web, check out Absolut Kelly. John Koza, PhD. John Koza gave a talk in Santa Fe in June 1992 at Artificial Life III on his new genetic programming paradigm, which provided additional information to that in Karl Sims' 1991 SIGGRAPH paper on how to write software that could be used to produce evolutionary art. I read Koza's Genetic Programming (`Jaws-1') in January 1993, and was soon experimenting with public-domain LISP interpreters to run his GP kernel, downloadable from Stanford. Unable to communicate effectively with the graphics system on my Silicon Graphics Indigo workstation, I next obtained a commercial LISP interpreter and compiler, and was able to get a primitive form of image evolution working.
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