Richard C. Windecker

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We showed in previous work how complex stochastic automata can be constructed from simple stochastic parts networked together. Here, we apply this modeling paradigm to create model automata that can mimic some aspects of the random walks animals make as they search for food or prey. We call these models Stochastic Artificial Neural Networks (ANNs). We focus(More)
This paper presents a model of nondeterministic adaptive automata that are constructed from simpler nondeterministic adaptive information processing elements. The first half of the paper describes the model. The second half discusses some of its significant adaptive properties using computer simulation examples. Chief among these properties is that network(More)
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