This paper provides an implementation and impact evaluation of Clear Signal for Action (CSA), a railroad industry safety program that combines behavior-based safety with process improvement methods. The CSA project took place in two departments at Chicago’s Amtrak terminal in 2001 to 2002. A corporate downsizing that coincided with much of the study period, as well as methodological issues, mad...

We use an economic experiment to examine the impact of an uncertain level of asymmetric information on the behavior of security dealers. Specifically, we distinguish three types of uncertainty with respect to informed trading risk, compound risk, and ambiguity for both a monopoly and a duopoly market setting. We find that dealers’ bidding behavior is less aggressive under ambiguity and compound...

Forced vibration analysis of plate is growing research subject as plates are used for manufacturing many mechanical structures. The analytical solutions have been found for plates with specified mass and stiffness but for the plates with uncertain mass and stiffness are studied very limitedly. The uncertain parameters play an important role in the design of practical mechanical system. It becom...

Financial decisions can only be understood by considering individual behavior and its deviations from rational behavior. Financial markets are based on a multitude of decisions by individuals. Therefore it is only natural that decision theory plays a fundamental role in understanding financial markets. Probably the most important class of financial decisions are decisions under risk. They can b...

We conducted an interpretive, qualitative research study to investigate herding behavior around trending posts about disasters on Sina Weibo, one of the most popular social media websites in China. Our preliminary results show that in response to uncertain situations, users engage in sensemaking (Seidel, 2013) and become emotionally engaged (Taylor, 2015) as they converge around trending posts ...

The reaction of autonomous mobile robot to the dynamic, uncertain, and changeable environment is one of most difficult issue in control of the intelligent autonomous robot movement. Fuzzy control appears as a very useful tool for handling the intelligent reactive navigation. Present work deals with building of fuzzy behavior based reactive navigation of goal achieving, obstacle avoidance, and p...

Many industrial applications, e.g. in power systems, need to use uncertain information (e.g. coming from sensors). The influence of uncertain measurements on the behavior of the system must be assessed, for safety reasons for instance. Also, by combining information given by physical models and sensor measurements, the accuracy of the knowledge of the state of the system can be improved, leadin...

In recent years, many new techniques have been developed for mining and managing uncertain data. This is because of the new ways of collecting data which has resulted in enormous amounts of inconsistent or missing data. Such data is often remodeled in the form of uncertain data. In this paper, we will examine the problem of outlier detection with uncertain data sets. The outlier detection probl...

Research on animal metacognition has typically used choice discriminations whose difficulty can be varied. Animals are given some opportunity to escape the discrimination task by emitting a so-called uncertain response. The usual claim is that an animal possesses metacognition if (a) the probability of picking the uncertain response increases with task difficulty, and (b) animals are more accur...