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Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
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Representation in dynamical agents.

Ronnie Ward1, Robert Ward

  • 1Department of Computer Science and Engineering, Texas A&M University, College Station, TX 77843-3112, USA. ward@cse.tamu.edu

Neural Networks : the Official Journal of the International Neural Network Society
|April 14, 2009
PubMed
Summary
This summary is machine-generated.

This study on cognitive systems found that evolved agents discriminating shapes exhibit "weak-substantive representation," where internal states relate to environmental objects and aid tasks even without direct perception.

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Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Computational Neuroscience

Background:

  • Previous research by Beer (1996, 2003) explored evolved dynamical neural networks for minimally cognitive behavior.
  • Beer's experiments with an agent discriminating circles from diamonds found no evidence of internal representation despite high performance.

Purpose of the Study:

  • To extend Beer's findings on representation in evolved agents.
  • To investigate the generality of results regarding internal representation in artificial agents.
  • To test for representation in an agent evolved for shape discrimination.

Main Methods:

  • Evolved a dynamical agent using a continuous-time recurrent neural network for shape discrimination.
  • Performed extensive behavioral analyses to test for the presence of internal representation.
  • Examined internal configurations for their relation to environmental objects and task relevance.

Main Results:

  • Agents evolved to discriminate equal-width shapes demonstrated "weak-substantive representation."
  • Internal configurations were understandably related to environmental objects.
  • These internal configurations were functionally used in a task-relevant manner, even when the object was not visible.

Conclusions:

  • The study provides evidence for weak-substantive representation in evolved agents performing shape discrimination.
  • This contrasts with previous findings of no internal representation in similar systems.
  • The results suggest that representation can emerge in evolved dynamical systems under specific task conditions.