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Given a population of classifiers, we consider the problem of designing highly compact and error adaptive decision making systems. A selection approach based on misclassification diversity and potential cooperation among...

This research proposes adapting the TE-SER model—originally developed to describe entrepreneurial ecosystems—to map institutional dynamics in urban public policy. Faced with the complexity of urban governance, partic...

Adaptive systems behavior based on user models appear promising, mostly for complex environments such as mixed reality environments (MRE). An MRE comprises a virtual representation of the reality as well as physical obj...