Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Hindsight Biases01:12

Hindsight Biases

3.9K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
3.9K
Purposive Learning01:22

Purposive Learning

208
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
208
Cognitive Learning01:21

Cognitive Learning

551
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
551
Reason and Intuition01:37

Reason and Intuition

6.9K
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...
6.9K
Instinctive Drift01:05

Instinctive Drift

329
Instinctive drift refers to the tendency of animals to revert to their innate behaviors despite repeated reinforcement. Breland and Breland demonstrated this concept in an experiment with a raccoon. The raccoon was trained to pick up two coins and place them in a container in exchange for food. Initially, the raccoon learned to associate the coins with food, making them a conditioned stimulus or a substitute for food. However, over time, the raccoon became less willing to put the coins into the...
329
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.2K
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...
4.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Decision-making trades off learned and perceived information.

PNAS nexus·2026
Same author

How social norms emerge: The interindividual actor-critic.

Psychological review·2025
Same author

The Experience-Experience Gap: Distributional Learning Is Associated with a Divergence of Preferences from Estimations.

Research square·2025
Same author

The computational psychopathology of emotion.

Psychopharmacology·2023
Same author

Training diversity promotes absolute-value-guided choice.

PLoS computational biology·2022
Same author

Serotonin modulates asymmetric learning from reward and punishment in healthy human volunteers.

Communications biology·2022

Related Experiment Video

Updated: Sep 16, 2025

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
09:07

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Published on: September 16, 2015

9.1K

Experience-based risk taking is primarily shaped by prior learning rather than by decision-making.

Alon Erdman1, Arne Gouwy2, Gal Sananes2

  • 1Department of Psychology, Hebrew University of Jerusalem, Jerusalem, Israel. alon.erdman@mail.huji.ac.il.

Nature Communications
|July 8, 2025
PubMed
Summary

Risk-taking behavior is primarily shaped by learning processes, not decision-making. Changes in how individuals learn to weigh potential gains and losses significantly influence their risk preferences over time.

More Related Videos

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

5.9K
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

12.2K

Related Experiment Videos

Last Updated: Sep 16, 2025

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
09:07

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Published on: September 16, 2015

9.1K
The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

5.9K
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

12.2K

Area of Science:

  • Cognitive Neuroscience
  • Behavioral Economics
  • Decision Science

Background:

  • Individual risk-taking varies significantly, impacting economic behavior and mental health.
  • Risk assessment often involves weighting potential gains and losses, but real-life decisions are influenced by prior learning experiences.

Purpose of the Study:

  • To determine whether cognitive decision-making or learning processes primarily govern the weighting of gains and losses in experience-based choices.
  • To investigate the interplay between learning and decision-making in shaping risk-taking behavior over time.

Main Methods:

  • A longitudinal decision task over 28 days involving 100 participants.
  • Computational modeling to analyze participants' choices and identify factors influencing risk-taking.
  • Measurement of neural and physiological learning signals in response to decision outcomes.

Main Results:

  • Changes in risk-taking behavior were predominantly explained by alterations in how learning, rather than decision-making, weighted gains and losses.
  • Observed neural and physiological signals confirmed inferred changes in learning processes.
  • Learning's influence on risk weighting was found to be more significant than decision-making's.

Conclusions:

  • In decisions based on experience, learning plays a crucial role in regulating risk-taking.
  • Understanding the learning mechanisms behind risk weighting is key to explaining individual differences in financial and behavioral choices.