We present a computational study of attentional capture by meaning, based on Barnard et al's key-distractor attentional blink task. We highlight a sequence of models, from an abstract black-box to a structurally detailed white-box model. Each of these models reproduces the major findings from the key-distractor blink task. We argue that such multi-level modelling gives greater confidence in the...

During the last decades, high-throughput techniques allowed for the extraction of a huge amount of data from biological systems, unveiling more of their underling complexity. Biological systems encompass a wide range of space and time scales, functioning according to flexible hierarchies of mechanisms making an intertwined and dynamic interplay of regulations. This becomes particularly evident ...

The paper presents a method of modelling a computer system design as it evolves, so that evaluation can be made an integral part of the design process. The paper introduces the concept of concurrent existence, within a single model, of several representations of the system being modelled, at differing levels of abstraction. Thus important design decisions are expressed directly in terms of appr...

This paper explores the fitting of multi-level models to growth data over a wide age range using a new class of extended spline models. These extend conventional splines based on a '+' function representation by allowing variable order functions and by including fractional polynomial terms. The work focuses on modelling human growth in height and head circumference with example data sets. The p...

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To understand the function of genetic regulatory networks in the development of cellular systems, we must not only realise the individual network entities, but also the manner by which they interact. Multi-valued networks are a promising qualitative approach for modelling such genetic regulatory networks, providing an interesting compromise between the simplicity of Boolean models and more deta...

Multi-Agent Systems (MAS) are a common approach to simulating biological systems. Multi-agent modelling provides a natural method for describing individual level behaviours of cells. However, the computation cost of simulating behaviours at an individual level is considerably larger than top down equation based modelling approaches. A recent possibility to improve computational performance is t...

This paper introduces a new method for automatic inbetweening in computer assisted traditional animation. The solution is based on novel 2.5D modelling and animation techniques within the context of a multi-level approach, starting with basic 2D drawing primitives (curves) at level 0, over explicit 2.5D modelling structures at level 1 and inclusion of 3D information by means of skeletons at lev...