sjdayday/PIPEMarkovChain
A collection of classes that are useful for Markov Chain analysis
Stochastic Self-Regulating Accumulator: estimates parameters for a model of hierarchically adaptive search by generating sets of parameters and checking them against real data values in a self-regulating accumulator model of search. At run-time, the model chooses parameters from a distribution around the optimal parameter values.
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A collection of classes that are useful for Markov Chain analysis
A set of algorithms for the Analysis of Petri nets
front-end to stats problems
build and run Petri net executable schemas