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__FORCETOC__ == Artificial Life - History == * VonNewman CA ** Complex study of mechanical reproduction * Conway's Game of Life - CA ** Simplification, global rules, cellular patterns * Core Wars ** Inspired by computer viruses ** Virtual machine protects environment uses simple instructions ** Linear address space ** Economy…time slice & battle for memory * Tierra - Rom Ray ** Robust instruction set allowed ** Genetic operations, i.e. mutation ** Parasites develop - steal time and reproduce other organisms ** Immunity and self repair develop ** Introduce size/complexity trade off ** No locality in model * 2D Code Worlds ** CA + code in the cell e.g. AVIDA - Chris Adam et.al ** Exhibits locality ** Cellular patterning ** Cellular competition {{SingleImage|imageWidthPlusTen=540|imageURL=http://www.viz.tamu.edu/courses/viza658/wiki/alife/01.jpg|caption=In these four screen rmages of Tom Ray's Tierra computer world, we see a survwal of the-fittest drama played out In the first frame we see a population dominated by red creatures represented by red line segments along with a few blue creatures into which some yellow parasites represented by the yellow line segments have started to invade In the second frame the population of red creatures has been severely diminished by the parasites. In the third frame we begin to see the blue creatures which are immune to the parasites, increasing in number and forcing the parasites toward the top of the screen. In the last frame the blue creatures have largely forced the parasites out and are now the dominant creatures.}} == Karl Sims and Genetics for A-Life == {{SingleImage|imageWidthPlusTen=656|imageURL=http://www.viz.tamu.edu/courses/viza658/wiki/alife/09.jpg|caption=}} {{SingleImage|imageWidthPlusTen=766|imageURL=http://www.viz.tamu.edu/courses/viza658/wiki/alife/10.jpg|caption=}} {{SingleImage|imageWidthPlusTen=605|imageURL=http://www.viz.tamu.edu/courses/viza658/wiki/alife/11.jpg|caption=}} == A-Life Large Scale Integration == A-life systems combine multiple ingredients * L-systems Not just a grammar based system also a simulation of real context sensitive process * Reaction Diffusion Systems * Swarm behavior - Boids, examples: ** Avoid collision ** Avoid being alone (center) ** Copy direction/speed of near boids See CB of N Boids program See Star Logo slime, firefly, wolf-sheep examples * Sim-city style ecological simulation * Genetics ** Database of information ** Instructions for construction ** Instructions for behavior ** Mechanism for variation * Replication ** Asexual/simple/possible mutation ** Sexual/intraspecie competition ** Emergent social behavior * Economics ** Energy input - eating, material gain ** Self defense - avoid becoming food ** Other energy outputs ** Run an energy profit or die!
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