Accession Number : ADA583690


Title :   Agent-Based Models and Optimal Control in Biology: A Discrete Approach


Descriptive Note : Book chapter


Corporate Author : VIRGINIA POLYTECHNIC INST AND STATE UNIV BLACKSBURG BIOINFORMATICS INST


Personal Author(s) : Hinkelmann, Franziska ; Oremland, Matt ; Laubenbacher, Reinhard


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a583690.pdf


Report Date : Jan 2012


Pagination or Media Count : 57


Abstract : 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.


Descriptors :   *MULTIAGENT SYSTEMS , *OPTIMIZATION , *SYSTEMS BIOLOGY , ALGORITHMS , MATHEMATICAL MODELS , POLYNOMIALS


Subject Categories : Biology
      Operations Research
      Computer Programming and Software


Distribution Statement : APPROVED FOR PUBLIC RELEASE