Sentence examples for a continuous decision from inspiring English sources

In this work a continuous decision function is anticipated.

In our task, we manipulated the experimental design to create choice situations that reliably 1) elicit exploitation responses and 2) demonstrate reward paradigm change and further demand more explorative behaviors in a continuous decision making paradigm.

Using a continuous decision-making task with four different dynamic reward structures underlying subjects' action-outcome contingencies, we found in this paper that differential involvement of brain areas in action selection and learning during different time periods of the task.

We used functional MRI to probe brain and behavioral responses in a continuous decision-making task where reward contingency is a function of both a subject's immediate choice and his choice history.

Combining the advantages of different existing methods could enable a rather continuous decision support.

The rates in the urban area of R9 (a current continuous decision making focus) remained high but stable within the study period and less important than those in R10.

Traditional ACO algorithms are designed to optimize discrete decision spaces, and on other hand, the well trajectory design is composed of a complex and continuous decision space of various parameters such as inclinations, azimuths, doglegs and vertical depths.

As a result of an EU Commission funded research project a toolset for supporting continuous decision making has been developed.

In this paper, we address the optimal commonality problem in a real multidimensional space, developing a novel algorithmic approach aimed at transforming a continuous multidimensional decision problem into a discrete decision problem.

In this paper, the honey-bee mating optimization (HBMO) algorithm is presented and tested with a nonlinear, continuous constrained problem with continuous decision and state variables to demonstrate the efficiency of the algorithm in handling the single reservoir operation optimization problems.

Among these algorithms, the electromagnetism-like mechanism (EM) is a powerful population-based algorithm designed for continuous decision spaces.