Скачать или смотреть Simple Ant Colony Simulation [JavaScript]

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This ant colony simulation models decentralized foraging behavior using pheromone-based pathfinding. A central nest continuously spawns ants, which move through the environment searching for food sources represented by green circles with numeric values indicating remaining food. As ants explore, they deposit pheromones along their paths; these pheromones are visualized as glowing green trails and serve as a shared communication medium. When an ant encounters food, it collects a unit and follows pheromone gradients back to the nest, reinforcing successful routes so that other ants increasingly favor them.

The left control panel governs the colony’s dynamics in real time. The number of ants determines population size, pheromone strength controls how strongly paths influence ant decisions, and evaporation rate dictates how quickly pheromone trails fade, preventing the system from locking into suboptimal routes. Simulation speed adjusts the time scale without changing the underlying rules. View options allow toggling pheromone visibility and ant sensor ranges, making it possible to inspect how local sensing leads to global organization.

The simulation view is interactive and includes obstacles that constrain movement and force path adaptation. Ants operate with limited local information, relying only on nearby pheromone concentrations and simple rules, yet collectively they converge on efficient routes between the nest and food sources. As food is depleted, trails weaken and the colony dynamically reallocates effort to remaining resources. The result demonstrates emergent intelligence: complex, adaptive behavior arising from simple agents following uniform rules without any centralized control.

https://adamdjellouli.com/tools/ant_c...