Related Experiment Video
Updated: Jun 17, 2025
13:04
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
Published on: September 19, 2012
12.1K
Beyond discrete-choice options
Amir Hosein Hadian Rasanan1, Nathan J Evans2, Laura Fontanesi1
1Department of Psychology, University of Basel, Missionsstrasse 62A, 4055, Basel, Switzerland.
Trends in Cognitive Sciences
|August 13, 2024
Summary
Decision theories are expanding beyond limited choices to continuous options. This review explores models for decisions in continuous spaces and future research directions.
Area of Science:
- Cognitive Science
- Decision Neuroscience
- Computational Psychology
Background:
- Traditional decision theories primarily address choices between discrete options.
- Real-world scenarios frequently involve continuous decision-making spaces.
- Recent advancements explore decision-making in continuous environments.
Purpose of the Study:
- To review current theories and computational models of decisions in continuous-option spaces.
- To provide an overview of the applications of continuous decision-making.
- To identify open questions for future research in this domain.
Main Methods:
- Review of existing literature on decision theories and computational modeling.
- Analysis of sequential sampling models applied to continuous spaces.
- Synthesis of applications across various fields.
Main Results:
- Highlighting the shift from discrete to continuous decision models.
- Summarizing computational approaches within the sequential sampling framework.
- Identifying key challenges and unresolved issues.
Conclusions:
- Understanding decisions in continuous spaces is crucial for real-world applications.
- Further development of computational models is needed.
- Future research should address identified puzzles and expand theoretical frameworks.
Related Concept Videos
01:09Decision Making: P-value Method
5.3K
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...
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...
5.3K
01:14Decision Making: Traditional Method
4.0K
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...
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...
4.0K
01:38Cognitive Dissonance
32.6K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
32.6K
01:37Reason and Intuition
6.4K
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...
6.4K
03:26Framing Effects
7.3K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.3K
02:01Factorial Design
13.0K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.0K