Implicit Motor Learning and Complex Decision Making in Time-Constrained Environments
نویسندگان
چکیده
منابع مشابه
Implicit motor learning and complex decision making in time-constrained environments.
The cost-effectiveness of the implicit (procedural) knowledge that supports motor expertise enables surprisingly efficient performance when a decision and an action must occur in close temporal proximity. The authors argue that if novices learn the motor component of performance implicitly rather than explicitly, then they will also be efficient when they make a decision and execute an action i...
متن کاملStochastic Decision Making in Manufacturing Environments
Decision making plays an important role in economics, psychology, philosophy, mathematics, statistics and many other fields. In each field, decision making consists of identifying the values, uncertainties and other issues that define the decision. In any field, the nature of the decisions is affected by environmental characteristics. In this paper, we are considered the production planning pro...
متن کاملTeam Decision Making in Complex, Time-Sensitive Environments
The goal of the FY04 Air Force Mission Oriented Investigation and Experimentation (MOIE), “Improving Time-Sensitive Team Decision Making,” was to study teams of operators in realistic time-sensitive venues. We sought to understand the kinds of tasks and functions people perform in these collaborative environments, why the tasks are so challenging, how they are currently done, and how to better ...
متن کاملApplication of Disciple to Decision Making in Complex and Constrained Environments
This paper describes Disciple, an Artificial Intelligence based decision aid which subject-matter experts can train and use when making decisions under stressful, complex, and constrained conditions. The tool was developed and used under the Defense Advanced Research Projects Agency’s High Performance Knowledge Base and Rapid Knowledge Formation programs. Some domains in which the tool would be...
متن کاملPredicting explorative motor learning using decision-making and motor noise
A fundamental problem faced by humans is learning to select motor actions based on noisy sensory information and incomplete knowledge of the world. Recently, a number of authors have asked whether this type of motor learning problem might be very similar to a range of higher-level decision-making problems. If so, participant behaviour on a high-level decision-making task could be predictive of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Motor Behavior
سال: 2008
ISSN: 0022-2895,1940-1027
DOI: 10.3200/jmbr.40.1.71-80