Abstract. This paper aims at giving a contribution to the ongoing attempt to turn the theory of pattern-recognition into a rigorous science. In this article we address two problems...
Abstract. We present computational experiments on language segmentation using a general information-theoretic cognitive model. We present a method which uses the statistical regula...
Sascha S. Griffiths, Mariano Mora McGinity, Jamie ...
This paper focuses on the automated extraction of concrete entities from a specialized-domain corpus. Then, in a bootstrapping phase, the candidates are used to extract new candida...
Street is a reconfigurable parallel computer architecture. It executes a production language directly in hardware with the aim of realising advanced cognitive agents in a more ene...
Mostafa W. Numan, Jesse Frost, Braden J. Phillips,...
The framework of temporal problems with uncertainty (TPU) is useful to express temporal constraints over a set of activities subject to uncertain (and uncontrollable) duration. In...
This paper investigates belief revision where the underlying logic is that governing Horn clauses. We show that classical (AGM) belief revision doesn’t immediately generalise to...
We present a unifying approach to the efficient evaluation of propositional answer-set programs. Our approach is based on backdoors which are small sets of atoms that represent ...
This paper presents a meta-objective optimization approach, called Bi-Goal Evolution (BiGE), to deal with multi-objective optimization problems with many objectives. In multi-obje...