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Related Concept Videos

Decision Making01:20

Decision Making

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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.
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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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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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Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance01:14

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Avoidance-avoidance conflict refers to a psychological situation where a person must choose between two or more unpleasant alternatives. These conflicts are particularly stressful because neither option is desirable. This dilemma is often expressed in sayings like "caught between a rock and a hard place" or "between the devil and the deep blue sea." For instance, individuals who fear dental procedures may find themselves torn between enduring a painful toothache or facing the...
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Timing and Consequences on Behavior01:08

Timing and Consequences on Behavior

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In operant conditioning, the timing of reinforcement is crucial. For animals like rats and cats, immediate reinforcement (within a few seconds) is much more effective than delayed reinforcement. For example, a food reward for a rat needs to follow within 30 seconds of pressing a bar to be effective. 
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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...
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Related Experiment Video

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The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
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A Dynamic Dual Process Model of Intertemporal Choice.

Adele Diederich1, Wenjia Joyce Zhao2

  • 1Jacobs University (Germany).

The Spanish Journal of Psychology
|December 24, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a formalized dynamic dual process model for intertemporal choice, enabling precise predictions for decision-making processes. The model offers testable insights into how automatic and deliberative systems influence choices and response times.

Keywords:
Intertemporal Choicedual process modelssequential samplingtwo-stage stochastic process

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Area of Science:

  • Cognitive psychology
  • Decision science
  • Computational modeling

Background:

  • Dual process theories posit two decision-making systems: automatic (System 1) and deliberative (System 2).
  • Existing theories are often verbal, lacking precise, testable predictions for intertemporal choice.
  • Intertemporal choice involves decisions about trade-offs between costs and benefits occurring at different times.

Purpose of the Study:

  • To present a formalized dynamic dual process model framework for intertemporal choice.
  • To generate precise, experimentally testable predictions for choice probability and response time distributions.
  • To provide a flexible framework for integrating and testing existing and novel dual-process models.

Main Methods:

  • Development of a two-stage stochastic process model to represent System 1 and System 2 dynamics.
  • Utilizing quasi closed-form solutions for analytical tractability.
  • Illustrating model predictions based on variations in key parameters like timing and preferences.

Main Results:

  • The formalized framework allows for quantitative and qualitative predictions of intertemporal choices.
  • Model parameters (e.g., System 1 timing, time constraints, preferences) demonstrably influence predictions.
  • The framework accommodates the integration of existing static-deterministic models.

Conclusions:

  • The proposed dynamic dual process model framework offers a powerful tool for studying intertemporal decision-making.
  • It enables rigorous empirical testing of dual-process theories in the context of time-based choices.
  • This formalization advances our understanding of the interplay between automatic and deliberative processes in complex decisions.