Genetic Representation for Evolvable Artificial Creature

This paper proposes a genetic representation method to evolve artificial creature´s personality by using artificial genome and evolutionary generative algorithm. The genome consists of computer-coded chromosomes. Based on the internal architecture, the chromosomes are designed for the genetic representation. They are composed of the fundamental genes, internal state related genes, and behavior related genes as essential components, which represent the personality and are used for the animal-like evolution in the simulated environment. To get a desired personality (genome), a proper fitness function is designed and genetic operators are applied to the population (genomes). The artificial creature, Rity, is developed in a virtual world of PC to test the effectiveness of this representation scheme.