We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
The aim of the paper is to give a formal compositional semantics for Spiking Neural P systems (SNP systems) by following the Structural Operational Semantics (SOS) approach. A pro...
Roberto Barbuti, Andrea Maggiolo-Schettini, Paolo ...
Abstract. Generally, there are two main streams of theories for studying uncertainties. One is probability theory and the other is fuzzy set theory. One of the basic ideas of fuzzy...