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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: 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...
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.
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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...
The Anchoring-and-Adjustment Heuristic01:25

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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...
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The Influence of Cognition on Affect

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Related Experiment Video

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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

Mentalizing in economic decision-making.

David Polezzi1, Irene Daum, Enrico Rubaltelli

  • 1Department of Developmental Psychology and Socialization, University of Padova, via Venezia 8, 35131 Padova, Italy. david.polezzi@unipd.it

Behavioural Brain Research
|April 15, 2008
PubMed
Summary
This summary is machine-generated.

People reject unfair monetary offers in the Ultimatum Game, even at a cost. This study used electroencephalography (EEG) to show that unfairness triggers rapid neural responses and complex decision-making for ambiguous offers.

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Area of Science:

  • Neuroscience
  • Behavioral Economics
  • Cognitive Psychology

Background:

  • The Ultimatum Game demonstrates that fairness considerations influence economic decisions, often overriding purely rational self-interest.
  • Participants frequently reject unfair offers, even when it results in no gain, highlighting the role of non-economic factors.

Purpose of the Study:

  • To investigate the neural mechanisms underlying decision-making in the Ultimatum Game, particularly for ambiguous offers.
  • To differentiate brain responses to fair, unfair, and mid-value offers using electroencephalography (EEG).

Main Methods:

  • Electroencephalography (EEG) was employed to record event-related potentials (ERPs) while participants processed various monetary offers.
  • Analysis focused on the feedback-related negativity (FRN) and N350 components, alongside reaction times (RTs).
  • Source localization techniques were used to identify brain regions involved in processing different offer types.

Main Results:

  • A rapid neural distinction between fair and unfair offers was observed via the feedback-related negativity (FRN) amplitude.
  • Mid-value offers, requiring more complex decision-making, elicited longer reaction times (RTs) and a larger N350 amplitude.
  • Superior temporal gyrus and inferior parietal lobule showed increased activity when processing mid-value offers, suggesting mentalizing about proposer intentions.

Conclusions:

  • Economic decisions are significantly influenced by non-rational factors, such as fairness and social considerations.
  • Neural processes related to fairness perception and intention attribution play a crucial role in economic decision-making, bridging the gap between theory and behavior.