Implementasi algoritme flocking untuk simulasi perpindahan agen hama dalam pengembangan chaos engine pada game edutani

Abstract

Flocking is a combination of three group behaviors—cohesion, separation, and alignment—all working together. Cohesion produces a steering force that moves an agent toward the center of mass of its neighbors. Separation creates a force that steers an agent away from those in its neighborhood region. Meanwhile, alignment attempts to keep an agent's heading aligned with its neighbors. In this research, the algorithm is applied to simulate the pest movement, especially the group one. The pest object is supposed to be an autonomous agent. The agent moves to look for foods and to avoid predators. This research applied some AI aspects to pest agents so that they could know how to react with everything in the environment where they move in, provided it is in their detection range. The research produced a web-based simulation which is connected to database. It means the data used for the simulation are reliable and dynamic. It could become a good foundation to develop the chaos engine in the future. And furthermore, Edutani, the educating multiplayer-online agricultural game can be brought into reality.