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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...
Contingency Table01:29

Contingency Table

A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

Classical conditioning not only includes the initial pairing of stimuli but also extends to more complex forms, such as higher-order conditioning. Higher-order conditioning involves creating associations beyond the primary conditioned stimulus, resulting in a chain of conditioned responses.
Higher-order, or second-order, conditioning occurs when a neutral stimulus becomes associated with an already established conditioned stimulus through repeated pairings. For instance, if a dog has been...
Inductive Reasoning00:59

Inductive Reasoning

Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or playing an...
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...

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Related Experiment Video

Updated: May 23, 2026

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
06:08

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task

Published on: July 22, 2025

Contingencies, logic, and learning.

T G Bower

    The Behavior Analyst
    |April 6, 2012
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a novel logical analysis of operant learning, yielding unique predictions. Experimental tests with newborns confirmed key predictions regarding reinforcement schedules and sucking behavior, advancing learning theory.

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    Last Updated: May 23, 2026

    Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
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    Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task

    Published on: July 22, 2025

    Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
    07:01

    Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

    Published on: September 20, 2020

    Area of Science:

    • Behavioral Psychology
    • Operant Conditioning
    • Developmental Psychology

    Background:

    • Operant learning theories provide frameworks for understanding behavior modification.
    • Existing theories offer explanations for individual behavioral predictions.
    • A unique pattern of predictions requires a novel theoretical analysis.

    Purpose of the Study:

    • To present a logical analysis of operant learning with unique predictive patterns.
    • To test specific predictions of this analysis using human newborns.
    • To compare the analysis's predictions with existing operant learning theories.

    Main Methods:

    • Logical analysis of operant learning principles.
    • Experimental testing of predictions with human newborns.
    • Review of existing literature for confirmatory evidence.

    Main Results:

    • Increased variance in sucking behavior with continuous reinforcement was observed, matching predictions.
    • Decreased sucking rate with a shift from continuous to partial reinforcement was confirmed.
    • Predictions regarding reinforcement shifts and extinction were supported by existing literature.

    Conclusions:

    • The logical analysis provides a unique and testable framework for operant learning.
    • Empirical evidence with newborns supports key predictions of the novel analysis.
    • The analysis offers a distinct perspective on operant conditioning phenomena.