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Purposive Learning01:22

Purposive Learning

284
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...
284
Cognitive Learning01:21

Cognitive Learning

823
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...
823
Behaviorism01:28

Behaviorism

4.0K
The field of behaviorism was pioneered by figures such as Ivan Pavlov, John B. Watson, and B.F. Skinner fundamentally shifted the focus of psychology to the observable and controllable aspects of human and animal behavior. This shift marked a critical evolution in the discipline, emphasizing scientific rigor and experimental methodology.
The core premise of behaviorism is its focus on observable behavior rather than internal thoughts or feelings. This approach argues that true scientific...
4.0K
Optimal Arousal Theory01:23

Optimal Arousal Theory

434
The optimal arousal theory suggests that performance is maximized when an individual experiences a moderate level of arousal. This theory is closely tied to the Yerkes-Dodson law, which illustrates an inverted U-shaped relationship between arousal and performance. The law, formulated by psychologists Robert Yerkes and John Dodson, implies an ideal arousal level for optimal performance, and deviations from this level can lead to declines in effectiveness.
Inverted U-Shaped Performance Curve
The...
434
Multiple Intelligences Theory01:20

Multiple Intelligences Theory

8.5K
Howard Gardner's theory of Multiple Intelligence proposes that there are nine distinct types of intelligence, each reflecting different ways of interacting with the world. Introduced in 1983 and expanded in subsequent years, Gardner's framework challenges the traditional notion of a single, generalized intelligence.
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Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

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Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
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Reflecting glory or deflecting stigma? The interplay between status and social proximity in peer evaluations.

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Related Experiment Video

Updated: Nov 14, 2025

New Variations for Strategy Set-shifting in the Rat
09:45

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

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Variety-seeking, learning and performance.

Gino Cattani1, Ji-Hyun Kim2

  • 1Department of Management and Organizations, Stern School of Business - NYU, New York, New York, United States of America.

Plos One
|March 8, 2021
PubMed
Summary
This summary is machine-generated.

Variety-seeking enhances organizational learning and performance when learning targets offer relevant information about the environment. Excessive exploration, however, can lead to performance decline, highlighting the need for defined exploration boundaries.

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Area of Science:

  • Organizational Learning
  • Computational Social Science
  • Knowledge Management

Background:

  • The variance hypothesis posits that variety-seeking (exploration) is crucial for learning and performance.
  • Existing computational models show diverse knowledge sources improve problem-solving.
  • Precise guidelines on the optimal breadth of search are lacking.

Purpose of the Study:

  • To determine the conditions under which variety-seeking benefits organizations.
  • To elucidate the trade-offs between exploration and exploitation in organizational learning.

Main Methods:

  • Development of a computational model simulating individual learning through interaction.
  • Analysis of how learning dynamics are influenced by the performance landscape.
  • Modeling knowledge updates based on interactions with other individuals.

Main Results:

  • Variety-seeking is beneficial only when learning targets provide informative signals about the performance landscape.
  • Superior knowledge may be found locally, near an individual's current position.
  • A critical point exists beyond which variety-seeking sharply declines performance, dependent on landscape and knowledge specialization.

Conclusions:

  • The benefits of variety-seeking are contingent on the learning environment's characteristics.
  • Understanding the critical point of exploration is key to managing its costs and benefits.
  • Findings offer implications for setting optimal boundaries for organizational exploration.