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Adaptivity modeling for complex adaptive systems with application to biology
Conference proceeding

Adaptivity modeling for complex adaptive systems with application to biology

Donghang Guo, Eunice E. Santos, Ankit Singhal, Eugene Santos and Qunhua Zhao
2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8, 3708
01 Jan 2007

Abstract

Automation & Control Systems Computer Science, Artificial Intelligence Computer Science, Cybernetics Engineering, Electrical & Electronic Science & Technology Computer Science Engineering Technology
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.

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