In this paper, we investigate the use of logic-based multi-agent systems for modelling active environments. Our case study is an intelligent support system for a so-called “active museum”. We show the approach of structuring the “agent space”, i.e., the social organisations acting within the environment, is well fitted to naturally represent not only the physical structure of the application, b...

Abstract. Interaction has been proved one of the main sources of complexity in Multi-Agent Systems (MAS) and many researches are working on techniques to palliate it. Furthermore, Organization modelling techniques lies on representing the groups of agents which are related by some kind of interaction. Current UML approaches represent these relationships as a set of binary links usually represen...

This paper reports on the multi-scale modelling of an intestinal crypt cellular structure coupled with Wnt signalling. Using formal modelling techniques based on the stochastic π-calculus, which supports ambients needed for compartments, we develop a collection of cell and molecular level models. The focus of our study is the role of Wnt in the control of cell division and differentiation. Usin...

In this paper, a novel multi-fidelity modelling-based optimisation framework is developed for the robust design of composite structures. The proposed provides significant savings on computation time compared to both conventional and high-fidelity modelling methods while maintaining an acceptable level accuracy. Artificial neural networks (ANNs) multi-level approach are incorporated into formula...

Metamodelling provides a way of modelling the rules underpinning not only modelling languages such as UML but also processes. In the context of object-oriented development, we evaluate the conceptual framework used to reason about metamodelling from the different perspectives of methodologist, method engineer and software developer. We propose the use of clabjets and powertype patterns as a sol...

Much statistical analysis of psycholinguistic data is now being done with socalled mixed-effects regression models. This development was spearheaded by a few highly influential introductory articles that (i) showed how these regression models are superior to what was the previous gold standard and, perhaps even more importantly, (ii) showed how these models are used practically. Corpus linguist...

Wheeled mobile manipulators utilize both the locomotion capabilities of the wheeled platform and manipulation capacity of the arm. While the modelling and control of such systems have previously been studied, most of them have considered robots with rigid suspension and their wheels are subject to pure rolling conditions. To relax the aforementioned limiting assumptions, this research addresses...

This paper summarises the impact of major earthquakes, 2010–2011, on Christchurch’s water supply network and what recovery measures have been applied, what worked well, what did not and why. A number of issues related to the open nature of the Christchurch water supply network were identified during earthquakes. It was difficult to manage large water supply pressure zones during the post-earthq...

We provide a stochastic modelling approach for multi-hierarchical fixedaccess telecommunication networks where cables are installed along the underlying road system. It constitutes an extension of network models consisting of only two hierarchy levels. We consider the effects of the introduction of an additional level of hierarchy on two functionals relevant in telecommunication networks, namel...

Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust scene-level behaviour interpretation. In particular, we develop a Dynamically Multi-Linked Hidden Markov Model (DML-HMM) to interpret group activities involving multiple objects captured in an outdoor scene. The model...