In this paper a framework is developed for measuring the complexities of deductions in an ab stract and computationally perspicuous man ner. As a notion of central importance ...
This paper shows how type effect systems can be combined with model-checking techniques to produce powerful, automatically verifiable program logics for higher order programs. The...
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
We consider the problem of inferring kinetic mechanisms for biochemical reactions from time series data. Using a priori knowledge about the structure of chemical reaction kinetics ...
Edmund J. Crampin, Patrick E. McSharry, Santiago S...
Abstract: The article presents a model of the structural properties of virtual communities and the information they can access. It argues that a large part of the information – a...