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Related Concept Videos

Purposive Learning01:22

Purposive Learning

E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a bonus...
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...
Associative Learning01:27

Associative Learning

Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Introduction to Learning01:18

Introduction to Learning

Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
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...
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...

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Related Experiment Video

Updated: Jun 5, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

Human category learning 2.0.

F Gregory Ashby1, W Todd Maddox1

  • 1Department of Psychology, University of California, Santa Barbara, California.Department of Psychology, University of Texas, Austin, Texas.

Annals of the New York Academy of Sciences
|December 25, 2010
PubMed
Summary
This summary is machine-generated.

Human category learning research now explores interactions between multiple cognitive systems. This review covers new questions about how these systems learn, represent information, and develop automaticity.

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Last Updated: Jun 5, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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Published on: May 5, 2015

Area of Science:

  • Cognitive Neuroscience
  • Neuroscience
  • Psychology

Background:

  • Early research (1990s-2000s) established the existence of multiple human category-learning systems.
  • Key goals included identifying system properties and neural underpinnings.
  • Current consensus supports the existence of distinct category-learning systems.

Purpose of the Study:

  • To review the second generation of research on human category learning.
  • To explore questions assuming multiple category-learning systems.
  • To investigate system interactions, neural distinctions, automaticity development, and learning mechanisms.

Main Methods:

  • Review of recent cognitive neuroscience literature.
  • Synthesis of findings on multiple category-learning systems.
  • Focus on emergent research questions beyond system existence.

Main Results:

  • Research is advancing to address how multiple category-learning systems interact.
  • Investigating the neural basis of categorization versus category representation.
  • Examining the development of automaticity within each system.
  • Exploring the precise learning mechanisms of individual systems.

Conclusions:

  • The field has moved from establishing multiple systems to understanding their complex interplay.
  • Future research will further elucidate the neural and functional characteristics of human category learning.
  • Understanding these systems is crucial for cognitive neuroscience and artificial intelligence.