Agent-Based Models and Optimal Control in Biology: A Discrete Approach
VIRGINIA POLYTECHNIC INST AND STATE UNIV BLACKSBURG BIOINFORMATICS INST
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This chapter describes an approach to the optimal control of complex biological systems. Such systems can often be modeled effectively through agent-based computational models. To apply rigorous mathematical methods to synthesize optimal control strategies one approach is to approximate the agent-based model through a mathematical model for which analytic methods are available. One such framework is that of time-discrete, state-discrete dynamical systems, which can be described as polynomial dynamical systems over a finite field. The chapter presents algorithms, examples, and associated software for these tasks.
- Operations Research
- Computer Programming and Software