As an emerging discipline, neuroeconomics faces considerable methodological and practical challenges. In this paper, I suggest that these challenges can be understood by exploring the similarities and dissimilarities between the emergence of neuroeconomics and the emergence of cognitive and computational neuroscience two decades ago. From these parallels, I suggest the major challenge facing th...

1 This work was partly supported by a grant from the Engineering and Physical Sciences Research Council (United Kingdom) and Advanced Power Components (Rochester, United Kingdom). Abstract The use of behavioural modelling for operational amplifiers has been well known for many years and previous work has included modelling of specific fault conditions using a macro-model. In this paper, the mod...

Market segmentation is a widely applied concept in destination management. Although the general trend in tourism marketing research has constantly been developing toward data-driven (a posteriori, post-hoc) approaches, national tourism organisations (NTOs) still mostly use the commonsense (a priori) approach of geographical segmentation. This paper compares the advantages and drawbacks of both ...

Frequently, human psychology opposes evolution and learning on the basis of their supposed differences in flexibility. Humans are thought to be more flexibly intelligent than other animals, because they lost most of their instincts. But, as William James proposed, we think that it might turn out that just the contrary is true. Human may have more instincts, more powerful instincts to learn for ...

Experts from the statistical domain worked in close collaboration with ontology engineers to develop an ontology of a subset of the Data Documentation Initiative, an established international standard for the documentation and management of data from the social, behavioral, and economic sciences. Experts in the statistics domain formulated use cases which are seen as most significant to solve f...

The panel data regression models have gained increasing attention in different areas of research including econometrics, environmental sciences, epidemiology, behavioural and social sciences. However, the presence outlying observations may often lead to biased inefficient estimates model parameters resulting unreliable inferences when least squares method is applied. We propose extensions M-est...

Because of the associations between fat intakes and the development of several major chronic diseases, governmental and health authorities in Western nations have voiced consistent recommendations for reductions in fat consumption over the past 35 years (Cannon, 1992). In these countries, fat consumption has been arguably the foremost public health nutrition issue over most of this period; yet,...

The classification and recognition of individual characteristics and behaviours constitute a preliminary step and is an important objective in the behavioural sciences. Current statistical methods do not always give satisfactory results. To improve performance in this area, we present a methodology based on one of the principles of artificial neural networks: the backpropagation gradient. After...

Research Methods Tutor is a new intelligent tutoring system created by porting the existing implementation of the AutoTutor system to a new domain, Research Methods in Behavioural Sciences, which allows more interactive dialogues. The procedure of porting allowed for an evaluation of the domain independence of the AutoTutor framework and for the identification of domain related requirements. Sp...

OBJECTIVE To demonstrate that six common errors made in attempts to change behaviour have prevented the implementation of the scientific evidence base derived from psychology and sociology; to suggest a new approach which incorporates recent developments in the behavioural sciences. STUDY DESIGN The role of health behaviours in the origin of the current epidemic of non-communicable disease is...