Genetic Programming and Evolvable Machines
Competitive co-evolution of predator and prey sensory-motor systems
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Efficiently evolving programs through the search for novelty
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Evolved neurogenesis and synaptogenesis for robotic control: the L-brain model
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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Using a rule-based system for growing artificial neural networks [1], we have evolved controllers for physically simulated 18-degree-of-freedom robotic "spiders". These robots previously evolved "galloping" gaits and tracked a compass heading. Here, we introduce an artificial "visual cortex" that permits distinct predator and prey species to "see" one another. It has been claimed [2] that the "Cambrian explosion" of evolutionary diversity was due the emergence of animal eyes, which created a new dynamic in the interaction between predators and prey. The survival of both was for the first time determined by interactions between animals some distance apart. Here, we find that the introduction of vision does indeed generate complex interactions both between and within the two species, as they species evolve complex hunting or avoidance behavior, modulating their galloping gaits with dynamic input from their visual systems.