Often in cooperative situations, many aspects of the decisionmaking environment are uncertain. We investigate how cooperation is shaped by the way information about risk is presented (from description or from experience) and by differences in risky environments. Drawing on research from risky choice, we compare choices in stochastic social dilemmas to those in lotteries with equivalent levels o...

The excess accumulation of water in lung interstitial or alveolar is called pulmonary edema which is caused by factors that upset the normal Starling balance in micro-circulation. Pulmonary edema disturbs the alveolar gas exchanges which are normally regulated by the respiratory system. Mathematical modelling of pulmonary edema may help to predict the lung conditions and the mechanisms involved...

The excess accumulation of water in lung interstitial or alveolar is called pulmonary edema which is caused by factors that upset the normal Starling balance in micro-circulation. Pulmonary edema disturbs the alveolar gas exchanges which are normally regulated by the respiratory system. Mathematical modelling of pulmonary edema may help to predict the lung conditions and the mechanisms involved...

In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but cannot handle well skewed (e.g., few positives but lots of negatives) and skewed distributions, which are typical in many data stream applications. In this paper, we propose an ensemble and cluster based sample method...

This paper presents a comprehensive conceptual framework and notation for learner modelling in intelligent tutoring systems. The framework is based upon the computational distinction between behaviour, behavioural knowledge, and conceptual knowledge (in a 'vertical' dimension) and between the system, the learner, and the system's representation of the learner (in a 'horizontal' dimension). All ...

4 This study considers the influence of the knowledge of existing mode shares on travelers 5 mode choice. This contrasts with traditional mode choice models, where the main objective 6 is to predict the overall mode shares as the aggregate of individual mode choices according 7 to variables encompassing attributes of the modes, and characteristics of the travelers. In this 8 study, a computer-a...