Collective or Scattering: Evolving Schooling Behaviors to Escape from Predator

Tamon Oboshi, Shohei Kato, Atsuko Mutoh and Hidenori Itoh

Department of Intelligence and Computer Science,
Nagoya Institute of Technology.
Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan.
{b-star, shohey, atsuko, itoh}@ics.nitech.ac.jp

Abstract:

In this paper, we consider an artificial life, model of the fish behavior, and discuss the mechanism of fish school  behavior by making it acquire the school behavior by evolutionary computation. An artificial ecology where fishes and a predator coexist is considered and we enhance one of the models for fish schooling with the ability to sense a predator's approach. This paper proposes an evolutionary method for the acquisition of evading behavior against predator. This paper also shows our computer simulation of the prey-predator system, and reports well simulated prey behaviors, especially evading behaviors of the predator with advantage of schooling.