Adaptivity modeling for complex adaptive systems with application to biology

Modeling or simulating complex adaptive systems (CASs) is a very important and challenging endeavor. Previously, we introduced a generic framework for addressing this problem, and included a number of critical criteria including emergence, self-organization, adaptivity, and others. In this paper, we present the methodology used for designing a particularly key component of our framework: the short-term adaptivity model. We test our short-term adaptivity model and framework within the biological science application domain, which have a number of critical CASs. In particular we model the aggregation process of Dictyostelium. The comparison between established biological experimental results and our simulation results validate the effectiveness of our model and framework.