In application domains such as medicine, where a large amount of data is gathered, a medical diagnosis and a better understanding of the underlying generating process is an aim. Re...
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
In this paper, we present a possible implementation of arithmetic functions (notably, addition and multiplication) using self-replicating cellular automata. The operations are per...
We propose a method to search for a lemma in a goq proof library by using the lemma type as a key. The method is based on the concept of type isomorphism developed within the funct...
Abstract. In this paper we present a labelled proof method for computing nonmonotonic consequence relations in a conditional logic setting. The method is based on the usual possibl...
Alberto Artosi, Guido Governatori, Antonino Rotolo