CAB_Simulations

CAB_Simulations

This repository contains a collection of cellular automata / agent-based simulations using the ComplexAutomataBase (CAB) framework.

Foraging Ant

Description

Foraging Ant describes the teamwork of ants on their mission to find food and deliver it back to their anthill. By using two sorts of pheromones to mark their trails back and forth, these tiny soldiers manage to implicitly communicate with one another and eventually create a nearly optimized trail.

Simple features as

• individually simulated ants, acting according to only two primitive rules
• individually simulated world cells
• pheromone trails evaporating over time

lead to an organic seeming behavior and lively little anthills.

Screenshots

Sugarscape [Alpha Version, Under Construction]

The Sugarscape is a world of sugar and spice. Agents will roam the land and harvest the resources to stay alive. Agents can mate and create offspring that will carry on their genes. Simple rules allow for complex behavior, leading to migrations, diseases, population fluctuations, trading and more.

Urban Development [Under Construction]

Urban Development will explore organic growth of cities or other urban ecologies by using the RICO model, whereby urban land use is divided into three principal designations: residential, industrial and commercial. The ultimate goal will be to find non-complex rules that lead an initial seed, of one or more of these land uses, to grow into a plausible city shape over time.