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Related Experiment Video

Updated: Sep 13, 2025

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
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From reaction to reflection: A recursive framework for the evolution and structure of intelligence.

Joseph J Trukovich1

  • 1Independent Researcher, Columbus, OH, USA.

Bio Systems
|August 3, 2025
PubMed
Summary
This summary is machine-generated.

Intelligence arises from recursive depth, not isolated abilities. The Reaction to Reflection (R2R) model explains consciousness and the biological vs. artificial intelligence gap through the transition to explicit recursion.

Keywords:
Biological GroundingCognogenesisExplicit recursionImplicit recursionRecursive intelligenceSymbiogenesisTemporal integrationTemporogenesis

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Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Neuroscience

Background:

  • Understanding intelligence requires exploring recursive processing, not just isolated cognitive functions.
  • Thermodynamic constraints are crucial for grounding self-referential processing.
  • Existing models struggle to explain the emergence of consciousness and the gap between biological and artificial intelligence.

Purpose of the Study:

  • Introduce the Reaction to Reflection (R2R) model as a unifying principle for intelligence.
  • Explain the emergence of consciousness and the biological-artificial intelligence gap.
  • Provide a mechanistic account linking neural dynamics to subjective experience.

Main Methods:

  • Propose four evolutionary transitions in recursive sophistication: reaction, temporogenesis, symbiogenesis, and cognogenesis.
  • Analyze the shift from implicit to explicit recursion.
  • Support the framework with evidence from microbial decision-making, cross-kingdom signaling, and neural networks.

Main Results:

  • The transition from implicit to explicit recursion is key to consciousness and the intelligence gap.
  • The R2R model offers testable predictions on cognitive dimensionality.
  • R2R provides criteria for assessing artificial consciousness and reframes neurodevelopmental variation.

Conclusions:

  • Genuine intelligence requires biological grounding.
  • The R2R model offers a unified mechanistic account of objective neural dynamics and subjective experience.
  • This framework advances our understanding of intelligence, consciousness, and neurodevelopmental variation.