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Related Concept Videos

Inductive Reasoning00:59

Inductive Reasoning

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Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
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Deductive Reasoning01:16

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Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
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Routes of Persuasion02:20

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Persuasion is the process of changing our attitude toward something based on some kind of communication. Much of the persuasion we experience comes from outside forces. How do people convince others to change their attitudes, beliefs, and behaviors? What communications do you receive that attempt to persuade you to change your attitudes, beliefs, and behaviors?
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The Representativeness Heuristic02:13

The Representativeness Heuristic

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The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
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Persuasion Strategies01:52

Persuasion Strategies

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Researchers have tested many persuasion strategies, including the foot-in-the door and the door-in-the-face techniques, in a variety of contexts. Ultimately, the principles are effective in selling products and changing people’s attitude, ideas, and behaviors (Cialdini & Goldstein, 2004).
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Impression Management Techniques IV: Altercasting01:14

Impression Management Techniques IV: Altercasting

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Altercasting is a strategic communication technique in which an individual imposes a specific identity or social role onto another person to influence their behavior and shape the interaction. By presuming a role—such as “responsible leader” or “patient person”—altercasting encourages the target to conform to that identity, often aligning their behavior with the expectations associated with the role. The power of this tactic lies in its subtlety; once a role...
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Visual Analysis of Argumentation in Essays.

IEEE transactions on visualization and computer graphicsยท2020
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Related Experiment Video

Updated: Oct 31, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

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Toward audience-aware argument generation.

Milad Alshomary1, Henning Wachsmuth1

  • 1Department of Computer Science Paderborn University, Paderborn, Germany.

Patterns (New York, N.Y.)
|June 28, 2021
PubMed
Summary

Computational argumentation is advancing, raising questions about building technologies that unite people. Incorporating audience beliefs into argumentation systems is key to fostering connection and collaboration.

Area of Science:

  • Computational linguistics
  • Artificial intelligence
  • Human-computer interaction

Background:

  • The computational argumentation field is maturing, evidenced by the first live human-machine debate.
  • This advancement prompts critical questions about developing technologies that promote social cohesion.

Discussion:

  • Effective argumentation technologies should bridge divides rather than deepen them.
  • Integrating audience beliefs into computational argumentation processes is a promising approach.

Key Insights:

  • Audience belief integration can enhance the connective potential of argumentation technologies.
  • This approach moves beyond purely adversarial models of debate.

Outlook:

  • Future research should explore methods for effectively eliciting and incorporating audience beliefs.

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  • Developing inclusive argumentation systems can foster more productive public discourse and understanding.