UNDERSTANDING STEERING MECHANISMS FOR SIMULATING FISH BEHAVIOURS

Abstract

ICT transformation modernized the global solutions with the aid of technology. In the computer science industry, procedural simulation is one of the ways to illustrate visual representation of a given scenario through mathematical data and algorithms. This paper proposed a framework to simulate school of fishes of heterogeneous behaviours using the modified classical boid algorithm. Before the simulation of school of fishes, it is vital to understand the steering mechanisms. The keystone of this paper is to allow flexible adaptations by two-level approaches where autonomous agent can instantly changes its micro and macro behaviours through the parameter alternation. This model is found to be able to support the general hypothesis about the behaviours pattern when they live individually and, in a group, observed in the fishes