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Consciousness: perspectives from symbolic and connectionist AI

W Bechtel1

  • 1Department of Philosophy, Washington University, St Louis, MO 63130, USA.

Neuropsychologia
|September 1, 1995
PubMed
Summary

This study explores how computational models, specifically connectionist systems, can explain consciousness. It focuses on intentionality, awareness, and qualitative character in conscious mental states.

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Area of Science:

  • Artificial Intelligence
  • Cognitive Science
  • Philosophy of Mind

Background:

  • Consciousness remains a complex phenomenon largely unaddressed by mainstream AI research.
  • Theoretical explorations into computational models offer potential explanations for consciousness.

Purpose of the Study:

  • To investigate the extent to which computational models can elucidate consciousness.
  • To focus on three key aspects of conscious mental states: intrinsic intentionality, subjective awareness, and qualitative character.

Main Methods:

  • Exploration of computational models for explaining consciousness.
  • Focus on connectionist systems as a potential framework.
  • Evaluation of strategies for developing systems that embody aspects of consciousness.

Main Results:

  • Strategies for developing connectionist systems that address intrinsic intentionality are described.
  • Approaches to modeling subjective awareness within computational frameworks are evaluated.
  • Methods for capturing the qualitative character of conscious states in AI are examined.

Conclusions:

  • Computational models, particularly connectionist systems, offer promising avenues for explaining key features of consciousness.
  • Further development is needed to fully integrate intentionality, awareness, and qualitative character into AI models.
  • This research contributes to understanding the computational underpinnings of conscious experience.

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