Artificial evolution for computer graphics
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Texturing and modeling: a procedural approach
Texturing and modeling: a procedural approach
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Animal-animat coevolution: using the animal population as fitness function
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
Strongly typed genetic programming
Evolutionary Computation
Designing games with a purpose
Communications of the ACM - Designing games with a purpose
ACM SIGGRAPH 2010 papers
Search-based procedural content generation
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
A cell-based developmental model to generate robot morphologies
Proceedings of the 14th annual conference on Genetic and evolutionary computation
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This article presents an abstract computation model of the evolution of camouflage in nature. The 2D model uses evolved textures for prey, a background texture representing the environment, and a visual predator. A human observer, acting as the predator, IS shown a cohort of 10 evolved textures overlaid on the background texture. The observer clicks on the five most conspicuous prey to remove ("eat") them. These lower-fitness textures are removed from the population and replaced with newly bred textures. Biological morphogenesis is represented in this model by procedural textum synthesis. Nested expressions of generators and operators form a texture description language. Natural evolution is represented by genetic programming (GP), a variant of the genetic algorithm. GP searches the space of texture description programs for those that appear least conspicuous to the predator.