Abstract. Computational inference of transcriptional regulatory networks remains a challenging problem, in part due to the lack of strong network models. In this paper we present e...
Self-organising multi-agent systems provide a suitable paradigm for developing autonomic computing systems that manage themselves. Towards this goal, we demonstrate a robust, dece...
Ramachandra Kota, Nicholas Gibbins, Nicholas R. Je...
Management of extra-functional properties in component models is one of the main challenges in the component-based software engineering community. Still, the starting point in thei...
This paper explores scientific metrics in citation networks in scientific communities, how they differ in ranking papers and authors, and why. In particular we focus on network eff...
We develop models of automated E-commerce techniques, which predict the economic outcomes of these decision mechanisms, including the price attained by a good and the resulting inc...