Related Experiment Video
Updated: Feb 28, 2026

10:26
Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
Published on: September 11, 2021
4.5K
Search and Coherence-Building in Intuition and Insight Problem Solving.
Michael Öllinger1,2, Albrecht von Müller1,3
1Parmenides Center for the Study of ThinkingPullach, Germany.
Frontiers in Psychology
|June 15, 2017
Summary
We propose a four-stage model for coherence-building, essential for understanding intuition and insight problem-solving. This framework details stages from activation to restructuring, offering new cognitive process insights.
Area of Science:
- Cognitive Psychology
- Computational Neuroscience
Background:
- Coherence-building is crucial for understanding intuition and insight problem-solving.
- Existing accounts address aspects of coherence-building but lack a general framework.
- A comprehensive model is needed to define the principles of coherence-building.
Purpose of the Study:
- To propose a novel four-stage model of coherence-building.
- To integrate existing findings on coherence-building into a unified framework.
- To provide a foundation for future research on cognitive processes in problem-solving.
Main Methods:
- Literature review of coherence-building mechanisms.
- Development of a four-stage model: restricted spreading activation, fluency-based detection, evaluation, and restructuring.
- Application of the model to explain intuition and insight problem-solving.
Main Results:
- The proposed model integrates rule-based processes (spreading activation) with subjective experience (fluency).
- The model differentiates intuition (three stages) from insight problem-solving (four stages, including restructuring).
- The framework facilitates the analysis of cognitive processes through examples and potential new measures.
Conclusions:
- The four-stage model provides a comprehensive framework for coherence-building.
- This model offers a new perspective on the cognitive mechanisms underlying intuition and insight.
- Further research can utilize this model to explore new paradigms and measures in cognitive science.
More Related Videos
Related Concept Videos
Cognitive Learning
1.5K
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...
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...
1.5K
Reason and Intuition
7.6K
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...
7.6K
Problem-Solving
577
Effective problem-solving consists of two steps: 1. identifying the problem and 2. selecting the appropriate problem-solving strategy (i.e., a plan of action used to find a solution). Humans use four problem-solving strategies:
577
The Anchoring-and-Adjustment Heuristic
7.8K
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...
7.8K
Application of Integration: Problem Solving
119
The process of breathing involves the periodic intake and expulsion of air, known as the respiratory cycle, which typically lasts about five seconds. Modeling the volume of air inhaled into the lungs as a function of time provides insight into both the dynamics and efficiency of pulmonary ventilation. This volume is determined by integrating the airflow rate over time, which captures the cumulative effect of air entering the lungs.Sinusoidal Model of AirflowAirflow during respiration is not...
119
Inductive Reasoning
68.8K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
68.8K

