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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...
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.
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Schemas01:42

Schemas

A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
Self-Schemas02:16

Self-Schemas

In general, a schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
Observational Learning01:12

Observational Learning

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Perception-action learning as an epistemologically-consistent model for self-updating cognitive representation.

David Windridge1, Josef Kittler

  • 1Centre for Vision, Speech and Signal Processing, Faculty of Engineering & Physical Sciences, University of Surrey, Guildford, UK. d.windridge@surrey.ac.uk

Advances in Experimental Medicine and Biology
|December 19, 2009
PubMed
Summary
This summary is machine-generated.

Cognitive bootstrapping enables agents to adapt their perception and refine world models. This process requires a priori percept/motor links for empirical validation, improving learning efficiency.

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Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Robotics

Background:

  • Human cognition exhibits representational plasticity, allowing modification of perceptual primitives.
  • Cognitive bootstrapping involves autonomous updating of an agent's perceptual framework to maintain consistent environment modeling.

Purpose of the Study:

  • To propose a theoretical framework for cognitive bootstrapping.
  • To argue for the necessity of a priori percept/motor interrelations for epistemic grounding.
  • To introduce a computational model for perception-action learning.

Main Methods:

  • Specified a logically-inductive model of perception-action learning.
  • Implemented compact re-parameterization of the percept space.
  • Utilized a priori percept/action coupling for empirical validation of perceptual inferences.
  • Employed exploratory action to validate affordance conjectures.

Main Results:

  • The model significantly reduces the a priori perceptual parameter-space size and specificity.
  • Fewer iterations are required for accurate world-model convergence.
  • Active learning characteristics enhance the cognitive bootstrapping mechanism.

Conclusions:

  • Cognitive bootstrapping is epistemically sound when coupled with a priori percept/motor interrelations.
  • The proposed model offers an efficient mechanism for perception-action learning and world-modeling.
  • This approach has implications for developing more adaptable and efficient artificial agents.