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Related Concept Videos

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...
Observational Learning01:12

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning because...
Evolutionary Psychology01:20

Evolutionary Psychology

Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the human psyche...
Cognitivism01:17

Cognitivism

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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Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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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Introduction to Learning

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Related Experiment Video

Updated: May 19, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

Coevolution of learning and data-acquisition mechanisms: a model for cognitive evolution.

Arnon Lotem1, Joseph Y Halpern

  • 1Department of Zoology, Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 69978, Israel. lotem@post.tau.ac.il

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|August 29, 2012
PubMed
Summary

Animal learning relies on compatible learning rules and data-acquisition mechanisms. This coevolution optimizes learning, enabling complex cognition with minimal resources.

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Last Updated: May 19, 2026

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Published on: April 15, 2014

Area of Science:

  • Cognitive Science
  • Animal Behavior
  • Evolutionary Biology

Background:

  • Animal learning is often studied independently of the mechanisms that guide attention and motivation.
  • The interplay between learning rules and data acquisition is crucial but often overlooked.
  • Understanding this relationship is key to explaining cognitive evolution.

Purpose of the Study:

  • To propose that the compatibility between learning rules and data-acquisition mechanisms is fundamental to animal learning.
  • To demonstrate how this coevolution facilitates effective learning with reduced computational and memory demands.
  • To present a framework for understanding the incremental evolution of complex cognitive systems.

Main Methods:

  • Analysis of basic examples from imprinting and associative learning.
  • Theoretical modeling of coevolutionary processes between learning and data acquisition.
  • Examination of how simple mechanisms support complex pattern learning in animals and humans.

Main Results:

  • Coevolution of learning and data-acquisition mechanisms optimizes learning for environmental data distributions.
  • This joint tuning allows for efficient learning with minimal memory and computation.
  • Simple, coevolved mechanisms can explain the acquisition and representation of complex patterns.

Conclusions:

  • The compatibility of learning rules and data acquisition is a powerful driver of cognitive evolution.
  • This coevolutionary perspective simplifies the understanding of how complex cognition evolves incrementally.
  • Further experimental and theoretical work is needed to explore these concepts.