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MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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A cognitive architecture that combines internal simulation with a global workspace.

Murray Shanahan1

  • 1Department of Computing, Imperial College London, 180 Queen's Gate, London SW7 2AZ, UK. m.shanahan@imperial.ac.uk

Consciousness and Cognition
|December 31, 2005
PubMed
Summary

This study introduces a novel brain-inspired cognitive architecture simulating consciousness, imagination, and emotion. It uses global workspace theory and internal simulations for planning and action selection, demonstrating potential in robotic control.

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Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Neuroscience

Background:

  • Mammalian brains exhibit enhanced cognitive efficacy with conscious information processing.
  • Global workspace theory models conscious information flow.
  • Affective states play a role in action selection.

Purpose of the Study:

  • To propose a brain-inspired cognitive architecture.
  • To incorporate approximations of consciousness, imagination, and emotion.
  • To emulate conscious information processing for improved cognitive functions.

Main Methods:

  • Adoption of a global workspace theory model for information flow.
  • Internal simulation of environmental interactions for anticipation and planning.
  • Implementation using weightless neurons for robotic control.

Main Results:

  • The architecture successfully integrates consciousness, imagination, and emotion approximations.
  • Internal simulations facilitate cognitive functions like planning.
  • Affect mediates action selection in both real and simulated environments.

Conclusions:

  • The proposed architecture offers a novel approach to artificial consciousness.
  • Weightless neuron implementation demonstrates feasibility for robotic control.
  • The model provides a framework for understanding brain-inspired AI.