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      Optimized Stochastic Policies for Task Allocation in Swarms of Robots

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          Matrix analysis

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            Stochastic simulation of chemical kinetics.

            Stochastic chemical kinetics describes the time evolution of a well-stirred chemically reacting system in a way that takes into account the fact that molecules come in whole numbers and exhibit some degree of randomness in their dynamical behavior. Researchers are increasingly using this approach to chemical kinetics in the analysis of cellular systems in biology, where the small molecular populations of only a few reactant species can lead to deviations from the predictions of the deterministic differential equations of classical chemical kinetics. After reviewing the supporting theory of stochastic chemical kinetics, I discuss some recent advances in methods for using that theory to make numerical simulations. These include improvements to the exact stochastic simulation algorithm (SSA) and the approximate explicit tau-leaping procedure, as well as the development of two approximate strategies for simulating systems that are dynamically stiff: implicit tau-leaping and the slow-scale SSA.
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              Flocking in Fixed and Switching Networks

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                Author and article information

                Journal
                IEEE Transactions on Robotics
                IEEE Trans. Robot.
                Institute of Electrical and Electronics Engineers (IEEE)
                1552-3098
                1941-0468
                August 2009
                August 2009
                : 25
                : 4
                : 927-937
                Article
                10.1109/TRO.2009.2024997
                81ee5f48-05eb-4c9a-9d70-168a9c52fa68
                © 2009
                History

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