OBJECTIVES We aimed to compare the procedural success and intervention durations regarding various airway access skills in moving and stationary ambulance simulations. MATERIAL AND METHODS An ambulance simulator was used to simulate the moving ambulance environment, and a standard manikin was used for airway simulation. The study included 38 paramedics and paramedic students. In stationary an...

I investigate various instances of bifurcation in a random stationary environment. This is done for a model equation, with a bifurcation parameter fluctuating in

From the technological point of view is usually more important to ensure the ability to react promptly to changing environmental conditions than to try to forecast them. Evolution Algorithms were proposed initially to drive the adaptation of complex systems to varying or uncertain environments. In the general setting, the adaptive-anticipatory dilemma reduces itself to the placement of the inte...

Adaptive filtering is used in a wide range of applications including echo cancellation, noise cancellation and equalization. In these applications, the environment in which the adaptive filter operates is often non-stationary. For satisfactory performance under non-stationary conditions, an adaptive filtering is required to follow the statistical variations of the environment. Tracking analysis...

One of the greatest difficulties about multiagent learning is that the environment is not stationary with respect to the agent. In case of single agent learning problems, the agent has to maximize its expected reward with respect to an environment which is stationary. In case of multiagent scenarios, all the agents learning simultaneously poses a problem of non-stationarity in the environment w...

This paper addresses the problem of tracking multiple targets using a network of communicating robots and stationary sensors. We introduce a Region-based Approach which controls robot deployment at two levels. A coarse deployment controller distributes robots across regions using a topological map which maintains urgency estimates for each region, and a target-following controller attempts to m...

In their standard formulations, stochastic games and Markov decision processes assume a rational opponent or a stationary environment. Online learning algorithms can adapt to arbitrary opponents and non-stationary environments, but do not incorporate the dynamic structure of stochastic games or Markov decision processes. We survey recent approaches that apply online learning to dynamic environm...

We address the problem of tracking multiple anonymous targets using a network of communicating robots and stationary sensors. Weintroduce a regionbased approach w ich controls robot deployment at wo levels. A coarse deployment controller distributes robots across regions u ing a topological m pand density estimates, anda target-following controller attempts omaximize the number of tracked targe...