Abstract. We investigate the computational capabilities of probabilistic cellular automata by means of the density classification problem. We find that a specific probabilistic ...
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
Elzbieta Pekalska, Marina Skurichina, Robert P. W....
In this paper we present CAMELotGrid, a tool to manage Grid computations of Cellular Automata that support the efficient simulation of complex systems modeled by a very large numb...
Abstract—Market-based mechanisms offer promising approaches for spectrum access in cognitive radio networks. In this paper, we focus on two market models, one with a monopoly pri...
Lei Yang, Hongseok Kim, Junshan Zhang, Mung Chiang...
Defeasible reasoning has been studied extensively in the last two decades and many different and dissimilar approaches are currently on the table. This multitude of ideas has made...