Modeling Biological Processes
Mathematical models have been used for decades to study biological processes. With the advent of computers came agent-based models. In an agent-based model, a programmer sets up rules which determine an agent's possible behaviors. Agent-based systems can be used to understand systems which are too complex to describe with a mathematical formula. With digital evolution, we can go a step further and evolve the brains of the agents!
Digital evolution can be a powerful tool when attempting to understand complex biological systems. For example, if we think that some environmental feature will affect evolution in a particular way then, we can define the environment, run an evolving agent based system, and see if the results match our predictions.
Digital evolution can be a powerful tool when attempting to understand complex biological systems. For example, if we think that some environmental feature will affect evolution in a particular way then, we can define the environment, run an evolving agent based system, and see if the results match our predictions.
