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Related Concept Videos

Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Reason and Intuition01:37

Reason and Intuition

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 brain can only use...
Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the $2,000...
The Availability Heuristic01:08

The Availability Heuristic

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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Related Experiment Video

Updated: May 21, 2026

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

Repeated causal decision making.

York Hagmayer1, Björn Meder

  • 1Department of Primary Care and Public Health Sciences, King's College London, London, England. york.hagmayer@kcl.ac.uk

Journal of Experimental Psychology. Learning, Memory, and Cognition
|June 13, 2012
PubMed
Summary
This summary is machine-generated.

People learn causal structures from decisions, not just outcomes. This causal knowledge helps them adapt choices when the decision environment changes, improving decision-making.

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Area of Science:

  • Cognitive Psychology
  • Decision Science
  • Behavioral Economics

Background:

  • Decisions often involve actions with causal impacts on the environment.
  • Acquiring knowledge about causal structures is crucial for understanding and adapting to the world.

Purpose of the Study:

  • To investigate the type of knowledge acquired through repeated decision-making involving causal actions.
  • To examine how this acquired knowledge is utilized to adapt to changes in decision contexts.

Main Methods:

  • A repeated decision-making paradigm was employed.
  • Behavioral data from participants making choices and receiving feedback were analyzed.

Main Results:

  • Decision-makers' behavior strongly correlated with their causal beliefs.
  • Participants effectively used causal knowledge to predict consequences of changes.
  • Existing causal hypotheses influenced feedback interpretation and belief revision.
  • Participants could induce causal models even without initial hypotheses, enabling adaptation.

Conclusions:

  • Individuals learn and utilize causal knowledge from decision-making experiences.
  • Causal beliefs are fundamental for interpreting feedback and adapting to environmental shifts.
  • The ability to form causal models facilitates adaptive decision-making in dynamic situations.