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Synapse
July 7, 20260 citationsOpen Access

Collaborative Cognition: Toward a Theory of Resonant Human–AI Collaboration

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ASAndrzej Skulski

Key Points

  • This work aims to develop a framework for understanding how human-AI interactions can be cognitively productive.
  • Introduces a conceptual framework for human-AI collaboration
  • Explores cognitive processes in shared interactions
  • Encourages future empirical investigations into collaborative cognition.
  • Identifies conditions for productive cognitive interaction between humans and AI.
  • Focuses on iterative processes leading to resonance and conceptual emergence.

Abstract

Collaborative Cognition introduces a conceptual framework for understanding sustained Human–AI interaction as an emergent cognitive process rather than a simple exchange of information. Instead of treating intelligence as a property of isolated participants, the paper investigates the conditions under which interaction itself becomes cognitively productive through iterative reconstruction, resonance, and conceptual emergence. The work is intended as a conceptual research program designed to encourage future empirical investigation.

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Cite This Study

Andrzej Skulski (2026) studied this question.

synapsesocial.com/papers/6a4c9754331bc25c9e5f43f8https://doi.org/10.5281/zenodo.21183812
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Collaborative Cognition: Toward a Theory of Resonant Human–AI Collaboration2026
  2. 2Collaborative Cognition: Emergence Through Sustained Human–AI Interaction2026
  3. 3Relational Cognition and the Emergent Self: A Shared Cognition Framework Between Human and Artificial Intelligence2026
  4. 4AI as an Externalized Executive Function: A Resonance-Based Model of Human–AI Cognitive Coupling2026
  5. 5Toward a Unified Theory of Collaborative Intelligence2026