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Related Concept Videos

Fundamental Attribution Error01:14

Fundamental Attribution Error

According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is called the fundamental attribution...
Null and Alternative Hypotheses01:16

Null and Alternative Hypotheses

The actual hypothesis testing begins by considering two hypotheses. They are termed  the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As  a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the population that is...
Theory of Attribution II: Kelley's Covariation Theory01:29

Theory of Attribution II: Kelley's Covariation Theory

Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus: Comparing...
Cause and Effect01:53

Cause and Effect

While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
Hypothesis: Accept or Fail to Reject?01:17

Hypothesis: Accept or Fail to Reject?

The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null hypothesis and 'fail to...
Theory of Attribution I: Correspondent Inference Theory01:15

Theory of Attribution I: Correspondent Inference Theory

Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...

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Related Experiment Video

Updated: Jul 4, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Negation of Basic Belief Assignment in Multisource Information Fusion on Dempster-Shafer Theory With Applications in

Xingyu Liu, Linlin Fan, Xuekai Wei

    IEEE Transactions on Neural Networks and Learning Systems
    |July 2, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces negation of basic belief assignment (NBBA) to handle information uncertainty in complex decision-making systems. The novel multisource information fusion classification method (MSIF-NBBA) significantly improves decision-making accuracy.

    Related Experiment Videos

    Last Updated: Jul 4, 2026

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning
    14:38

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Published on: November 2, 2012

    Area of Science:

    • Artificial Intelligence
    • Information Fusion
    • Decision Theory

    Background:

    • Handling uncertainty in complex decision-making systems with multiple information sources is challenging.
    • Existing methods struggle to effectively express and manage information uncertainty.

    Purpose of the Study:

    • To address the unresolved issue of expressing information uncertainty in complex decision-making systems.
    • To introduce and apply the negation of basic belief assignment (NBBA) from a negation perspective.
    • To develop an effective multisource information fusion classification method.

    Main Methods:

    • Defined negation of basic belief assignment (NBBA) using the difference measure of focal elements based on Dempster-Shafer theory (DST).
    • Proposed a kernel entropy adaptive focal element generation method (KEAFG) for constructing basic belief assignments (BBAs).
    • Developed a multisource information fusion classification method based on NBBA (MSIF-NBBA) integrating KEAFG-generated BBAs and NBBAs.

    Main Results:

    • The proposed NBBA provides a theoretical foundation for decision-making.
    • The MSIF-NBBA method was validated on diverse datasets (CIFAR-10, MNIST, Fashion-MNIST, Iris, Heart).
    • Experimental results show significant performance improvement over state-of-the-art methods.

    Conclusions:

    • The proposed method effectively reduces uncertainty in multisource information fusion.
    • The MSIF-NBBA approach enhances decision-making accuracy and reliability.
    • The study offers a novel perspective and practical solution for managing information uncertainty.