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Related Concept Videos

Problem-Solving01:29

Problem-Solving

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:
Concepts and Prototypes01:24

Concepts and Prototypes

The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
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Heuristics01:21

Heuristics

Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
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The Availability Heuristic01:08

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
Cognitive Learning01:21

Cognitive Learning

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...
The Representativeness Heuristic02:13

The Representativeness Heuristic

The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.

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Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
06:45

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Published on: April 18, 2017

Brain activity in using heuristic prototype to solve insightful problems.

Tong Dandan1, Zhu Haixue, Li Wenfu

  • 1Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing 400715, China; School of Psychology, Southwest University, Chongqing 400715, China. tddtongdandan@163.com

Behavioural Brain Research
|July 18, 2013
PubMed
Summary

Heuristic prototypes aid innovation by guiding problem-solving. This study found the left dorsolateral prefrontal gyrus and left angular gyrus are key brain regions activated during insight when using related prototypes for technical challenges.

Keywords:
Event-related fMRIHeuristic creativityInsightLeft angular gyrusLeft dorsolateral prefrontal gyrusReal technical problem

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Innovation Studies

Background:

  • Heuristic knowledge and experience are crucial for innovation and solving technical problems.
  • Heuristic prototypes can cue specific technical problems, guiding the innovation process.
  • Understanding the neural basis of insight is essential for advancing scientific discovery.

Purpose of the Study:

  • To investigate the neural mechanisms underlying insight induced by heuristic prototypes.
  • To identify brain regions involved in utilizing heuristic prototypes for scientific problem-solving.
  • To differentiate brain activity associated with successful versus unsuccessful problem-solving using heuristic prototypes.

Main Methods:

  • Employed event-related functional magnetic resonance imaging (fMRI) to study brain activity.
  • Participants solved technical problems and assessed the relevance of heuristic prototypes (related and unrelated).
  • Compared brain activation between conditions of solving problems with related prototypes versus failing with unrelated prototypes.

Main Results:

  • Significant activation was observed in the left dorsolateral prefrontal gyrus (DLPFC, BA9) and left angular gyrus (AG, BA39) when presented with related prototypes (RPs) compared to unrelated prototypes (UPs).
  • The left DLPFC showed heightened activity, suggesting a role in automatic problem retrieval and overcoming mental fixation.
  • The left AG demonstrated increased activation, indicating its involvement in forming novel connections between problems and prototypes.

Conclusions:

  • The left DLPFC and left AG are critical neural substrates for insight generation facilitated by heuristic prototypes.
  • DLPFC activation is linked to retrieving relevant technical problems and breaking cognitive sets.
  • Left AG activation supports the formation of new associations essential for innovative problem-solving.