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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...
Perception01:28

Perception

Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
Association Areas of the Cortex01:21

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
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...

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Related Experiment Videos

A Framework for Hierarchical Perception-Action Learning Utilizing Fuzzy Reasoning.

David Windridge, Michael Felsberg, Affan Shaukat

    IEEE Transactions on Cybernetics
    |July 10, 2012
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new perception-action (P-A) learning framework for cognitive systems. It enhances accuracy by integrating symbolic reasoning into P-A mapping, improving performance in complex tasks.

    Related Experiment Videos

    Area of Science:

    • Cognitive Systems Engineering
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Conventional cognitive systems rely on environment representation and action planning, which are complex and require extensive training.
    • Perception-action (P-A) learning offers a simplified approach by directly mapping actions to perceptual transitions, reducing the need for intermediate representations.

    Purpose of the Study:

    • To develop a general learning framework for cognitive systems that enables online P-A mapping within a symbolic processing context.
    • To investigate the integration of complex contextual reasoning and abstract symbolic manipulation into the P-A learning process.
    • To demonstrate the effectiveness of top-down modulation of perceptual confidences in enhancing P-A learning.

    Main Methods:

    • Utilized a variational calculus approach to define an objective function for P-A mapping.
    • Treated P-A mapping as an online learning problem solvable via gradient descent.
    • Demonstrated top-down modulation of low-level perceptual confidences using the Jacobian of a subsumptive P-A hierarchy.
    • Integrated fuzzy deductive logic for abstract symbolic manipulation into the P-A mapping learning.

    Main Results:

    • The proposed framework achieved significantly better accuracy compared to P-A learning without top-down modulation.
    • The framework enables novel forms of context-dependent multilevel P-A mapping.
    • Experimental application in an intelligent driver assistance system demonstrated the framework's practical utility.

    Conclusions:

    • The developed framework effectively integrates symbolic reasoning into P-A learning, enhancing cognitive system performance.
    • Top-down modulation via the Jacobian is a key mechanism for incorporating abstract reasoning into P-A mappings.
    • The approach shows promise for developing more sophisticated and context-aware intelligent systems, such as driver assistance systems.