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Related Experiment Videos

Agent computing themes in biologically inspired models of learning and development.

Kevin D Reilly1

  • 1Computer and Information Sciences, Behavioral Neuroscience, Development Psychology, University of Alabama at Birmingham, Birmingham, AL 35294-1170, USA. reilly@cis.uab.edu

International Journal of Developmental Neuroscience : the Official Journal of the International Society for Developmental Neuroscience
|August 15, 2002
PubMed
Summary

This study explores the concept of agents in neuroscience, examining how agent notions influence research and contribute to models of memory development. It highlights cooperative and competitive neural agents and human-in-the-loop systems.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Artificial Intelligence

Background:

  • The concept of 'agent' is evaluated, including its core features and overlaps.
  • Agent notions have influenced various areas within neuroscience.
  • Existing research emphasizes agent themes through schema theory and AI comparisons.

Purpose of the Study:

  • To analyze the penetration and development of agent notions in neuroscience.
  • To present models for memory strategy development in children using agent concepts.
  • To integrate neural network modeling with bio-inspired models.

Main Methods:

  • Evaluation of agent features and attribute cores.
  • Analysis of agent theory application in neuroscience research.

Related Experiment Videos

  • Development of neural modeling agents for memory strategy research.

    • Main Results:

    • Demonstration of cooperative and competitive neural modeling agents.
    • Illustration of a "human agent in the loop" in cognitive models.
    • Integration of neural network (NN) modeling with bio-inspired approaches.

    Conclusions:

    • Agent theory provides a valuable framework for understanding neuroscience and cognitive development.
    • Neural modeling agents offer insights into memory strategy formation.
    • Hybrid models combining NN and bio-inspired approaches show promise.