Quantitative analysis of animal behaviour is a requirement to understand the task solving strategies of animals and the underlying control mechanisms. The identification of repeatedly occurring behavioural components is thereby a key element of a structured quantitative description. However, the complexity of most behaviours makes the identification of such behavioural components a challenging ...

Rapid advances in genetics, genomics, and imaging have given insight into the molecular and cellular basis of behaviour in a variety of model organisms with unprecedented detail and scope. It is increasingly routine to isolate behavioural mutants, clone and characterise mutant genes, and discern the molecular and neural basis for a behavioural phenotype. Conversely, reverse genetic approaches h...

Analysis of behavioural consistency is an important aspect of software engineering. In process and service management, consistency verification of behavioural models has manifold applications. For instance, a business process model used as system specification and a corresponding workflow model used as implementation have to be consistent. Another example would be the analysis to what degree a ...

Animal personality, repeatable behaviour through time and across contexts, is ecologically and evolutionarily important as it can account for the exhibition of sub-optimal behaviours. Interspecific comparisons have been suggested as important for understanding the evolution of animal personality; however, these are seldom accomplished due, in part, to the lack of statistical tools for quantifyi...

We examine the marginal effects of decentralized public health spending by incorporating estimates of behavioural responses to changes in health spending in benefit incidence analysis. The analysis is based on a panel dataset of 207 Indonesian districts over the period from 2001 to 2004. We show that district public health spending is largely driven by central government transfers, with an elas...

in previous papers authors have considered agents as inertia-less self driven particles and designed a flocking algorithm. application of this algorithm to agents with considerable inertial characteristics needs a behavioural controller. the controller uses the local information and helps every agent to imitate the desired behaviour as a member of the flocking frame which covers the main issue ...

We compare the empirical performance of the unitary and the collective approach to modelling observed labour supply behaviour. Deviating from the mainstream literature, we conduct a nonparametric analysis, which avoids the distortive impact of an erroneously specified functional form for the preferences and/or the intrahousehold bargaining process. Our analysis specifically focuses on the goodn...