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Related Concept Videos

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Updated: Jan 18, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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Cognitive Modeling Using Artificial Intelligence.

Michael C Frank1, Noah D Goodman2

  • 1Department of Psychology, Stanford University, Stanford, California, USA ;

Annual Review of Psychology
|September 12, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) models can now be used as cognitive models to understand the human mind. By training AI with human data and testing it experimentally, we can better explain and predict human intelligence.

Keywords:
artificial intelligencecognitive modelingpsychological theory

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Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Computational Neuroscience

Background:

  • Artificial intelligence (AI) models have historically served as theoretical tools in cognitive science.
  • Current AI models are stimulus computable, processing data analogous to human experiences.
  • This capability presents new avenues for understanding the human mind.

Purpose of the Study:

  • To explore the potential of AI models as cognitive models for understanding human intelligence.
  • To highlight the significance of stimulus-computable AI in cognitive science research.

Main Methods:

  • Utilizing AI models trained on human-scale input data.
  • Evaluating AI cognitive models through rigorous experimental probes.
  • Comparing AI model performance against human behavior and cognitive theories.

Main Results:

  • AI models trained on human data can serve as effective cognitive models.
  • These models offer a powerful framework for explaining and predicting human behavior.
  • Demonstrated AI's capability to deepen insights into human cognitive processes.

Conclusions:

  • AI models represent a significant advancement in cognitive modeling.
  • The use of AI as cognitive models can substantially inform theories of human intelligence.
  • Future research should leverage AI for comprehensive understanding of the human mind.