CA-based Models in Biology

CA-based models in biology, or cell-automaton-based models, use simple rules to simulate complex biological systems. These models treat individual cells as units that follow specific rules based on their neighbors' states, allowing researchers to explore how behaviors emerge from local interactions. For example, they can simulate the growth of tissues, the spread of diseases, or population dynamics. By modeling these processes, scientists gain insights into biological phenomena, helping to understand patterns and predict outcomes in various fields, such as ecology, evolution, and medicine.