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Interactive effects of explicit emergent structure: a major challenge for cognitive computational modeling.

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David Marr's computational cognition framework needs updating to include emergent structures. Understanding how these cognitive structures develop and influence lower levels is crucial for modern cognitive science.

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Active symbolsConnectionist modelsEmergenceInteractive emergence

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Area of Science:

  • Cognitive Science
  • Computational Neuroscience
  • Artificial Intelligence

Background:

  • David Marr's influential three-level analysis (computational, representational, implementational) described cognitive information processing.
  • Marr's original framework was descriptive and lacked dynamic interaction between levels.
  • Contemporary cognitive science requires a more interactive and dynamic model.

Purpose of the Study:

  • To propose an extension to David Marr's three-level analysis of computational cognition.
  • To incorporate the concept of emergent structures, particularly at the conceptual level.
  • To highlight the feedback mechanisms between emergent structures and their underlying levels.

Main Methods:

  • Conceptual analysis and theoretical extension of Marr's framework.
  • Exploration of emergent structures in cognitive information processing.
  • Examination of dynamic interactions within computational cognitive models.

Main Results:

  • Marr's descriptive levels may be insufficient for understanding dynamic cognitive processes.
  • Explicit emergent structures can arise from lower computational and representational levels.
  • These emergent structures exert a feedback influence on the levels from which they emerged.

Conclusions:

  • Modern cognitive science must account for the emergence and feedback of explicit structures.
  • A dynamic, interactive model is necessary to fully understand computational cognition.
  • Future research should focus on the developmental and interactive aspects of cognitive structures.