Evolutionary generative process for an artificial creature's personality

  • Authors:

  • Jong-Hwan Kim;Chi-Ho Lee;Kang-Hee Lee

  • Affiliations:

  • Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea;Department of Technology and Industry, Samsung Economic Research Institute, Seoul, Korea;Corporate Technology Operations, Mechatronics and Manufacturing Technology Center, Samsung Electronics Company, Ltd., Suwon-si, Korea

  • Venue:
  • IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
  • Year:
  • 2009

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Abstract

In this paper, an artificial creature is designed to have its own genome in which a specific personality is encoded. The genome is composed of 14 chromosomes each of which consists of three kinds of genes such as fundamental genes, internal-state-related genes, and behavior-related genes. To represent various types of personality, a large number of genes are needed. In this case, if gene values are assigned manually for the individual genome, it becomes increasingly difficult and time-consuming to generate a desired personality reliably and consistently. Considering this problem, this paper proposes an evolutionary process that generates a genome encoding a specific personality of an artificial creature. The process evolves a population of genomes such that it customizes the genome, which meets a simplified set of personality traits desired by the user. The evaluation procedure for each genome of the population is carried out in a virtual environment using a tailored perception scenario and a dedicated fitness function. An artificial creature, Rity, is developed in the virtual 3-D world created in a PC to demonstrate the effectiveness of the proposed process.