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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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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
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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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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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Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
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Can the inherence heuristic explain vitalistic reasoning?

Brock Bastian1

  • 1School of Psychology, University of Queensland,St Lucia,QLD 4072,Australia.b.bastian@uq.edu.auwww.brockbastian.com.

The Behavioral and Brain Sciences
|November 13, 2014
PubMed
Summary

Psychological essentialism relies on inherence. Vitalism explanations may confuse fixed features with general forces, opening new research into the inherence heuristic.

Area of Science:

  • Cognitive Psychology
  • Philosophy of Science

Background:

  • Inherence is a key concept in psychological essentialism.
  • Essentialism posits that categories have underlying, non-obvious properties that define membership.

Purpose of the Study:

  • To analyze the conceptual link between inherence and vitalism in psychological essentialism.
  • To identify potential conflations in explanatory principles related to inherence.

Main Methods:

  • Conceptual analysis of inherence and vitalism.
  • Examination of causal explanations in psychological essentialism.

Main Results:

  • The study identifies a conflation between explanations based on fixed features and general causal forces when using vitalism to explain inherence.

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  • This conflation arises from the application of vitalism within the framework of psychological essentialism.
  • Conclusions:

    • The disjuncture in explanatory principles highlights novel directions for understanding the inherence heuristic.
    • Further research is needed to differentiate between feature-based and force-based causal explanations in essentialist cognition.