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Related Concept Videos

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Control Systems01:10

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
Classification of Systems-I01:26

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
Accuracy and Precision01:52

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate measurements...

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Related Experiment Videos

Getting it right generally, but not precisely: learning the relation between multiple inputs and outputs.

Robert C Mathews1, Jonathan Tall, Sean M Lane

  • 1Department of Psychology, Office of Applied Cognition, Louisiana State University, Baton Rouge, LA 70803, USA. psmath@lsu.edu

Memory & Cognition
|March 5, 2011
PubMed
Summary
This summary is machine-generated.

People often struggle to understand how different actions impact behavior. This study shows individuals automatically integrate positive and negative outcomes, even when unaware of side effects, influencing their judgment of interventions.

Related Experiment Videos

Area of Science:

  • Cognitive Psychology
  • Organizational Behavior
  • Decision Making

Background:

  • Individuals frequently assess complex behavioral influences in real-world scenarios.
  • Professional confidence in experiential knowledge of behavioral effects is often unsubstantiated.

Purpose of the Study:

  • To investigate participants' capacity to learn the differential impacts of interventions on employee performance.
  • To determine if individuals automatically integrate positive and negative outcome information.

Main Methods:

  • A managerial task simulation was employed across three experiments.
  • Participants evaluated the effects of various interventions on primary and secondary performance measures.
  • Behavioral judgments and stated knowledge of intervention side effects were recorded.

Main Results:

  • Participants reduced judgments of an intervention's positive impact when it had negative side effects.
  • This adjustment occurred regardless of explicit awareness of the negative side effect.
  • Evidence suggests automatic integration of multiple outcome effects.

Conclusions:

  • Individuals demonstrate an automatic process of integrating diverse outcome information when evaluating interventions.
  • This integration influences judgments of intervention effectiveness, even without conscious awareness of all effects.
  • Findings highlight the complex cognitive mechanisms underlying behavioral intervention assessment.