Age-related declines in scores on neuropsychological tests are widely believed to reveal that human cognitive capacities decline across the lifespan. In a computational simulation, we show how the behavioral patterns observed in Paired Associate Learning (PAL), a particularly sensitive measure of age-related performance change (Rabbitt & Lowe, 2000), are predicted by the models used to formaliz...

Activity discovery is a challenging machine learning problem where we seek to uncover new or altered behavioural patterns in sensor data. In this paper we motivate and introduce a novel approach to activity discovery based on modern deep learning techniques. We hypothesise that our proposed approach can deal with interleaved datasets in a more intelligent manner than most existing AD methods. W...

In this paper we present a set of experiments in which a group of simulated robots were evolved for the ability to aggregate and to move together toward a light target. Evolved individuals display interesting behavioural patterns in which groups of robots act as a single unit. Moreover, groups of identical evolved individuals display primitive forms of "situated" specializations in which differ...

The present article deals with the question of musical universals, as analysed from a zoosemiotic, and zoomusicological in particular perspective, focusing on a specific portion named “structures”. By structures are meant the musical traits in themselves, as distinguished from the para-musical aspects – that is behavioural patterns related with music and the whole psycho-emotional dimension of ...

To provide services according to user behavior, parameters should be adapted appropriately for the precise recognition of user behavior. In particular, the threshold value which is used to create behavioral patterns matched for behavior recognition impacts accuracy of behavior recognition. Because the threshold value is common to all users in the conventional model, the threshold setting unsu...

We present a novel connectionist model for acquiring the semantics of a simple language through the behavioral experiences of a real robot. We focus on the “compositionality” of semantics, a fundamental characteristic of human language, which is the ability to understand the meaning of a sentence as a combination of the meanings of words. We also pay much attention to the “embodiment” of a robo...

Why have some animals evolved large brains despite substantial energetic and developmental costs? A classic answer is that a large brain facilitates the construction of behavioural responses to unusual, novel or complex socioecological challenges. This buffer effect should increase survival rates and favour a longer reproductive life, thereby compensating for the costs of delayed reproduction. ...

This research presents an example of how evidence-based policy-making can lead to bandwidth optimisation in a university network, giving rise to improved network performance and cost savings. The research data were based on network event logs from a campus network. The logs were analysed to draw useful insights about the needs and behavioural patterns of users on the network. The results show h...

Why have some animals evolved large brains despite substantial energetic and developmental costs? A classic answer is that a large brain facilitates the construction of behavioural responses to unusual, novel or complex socioecological challenges. This buffer effect should increase survival rates and favour a longer reproductive life, thereby compensating for the costs of delayed reproduction. ...

Electronic Knowledge Repository (EKR) is one of the most commonly deployed knowledge management technologies, yet its success is hindered by employees’ underutilization and further complicated when implemented in the multinational context. To address these challenges, we propose a research model by conceptualizing employees’ knowledge seeking via EKR as a survival-centric behavior, identifying ...