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Welcome to the comprehensive documentation for the Field-Node-Cockpit model of consciousness.
"Consciousness is not generated by nodes—it is accessed through them."
- Theory Overview — Field-Node-Cockpit model explained
- Philosophical Arguments — Hard problem, combination problem, AI consciousness
- Theoretical Integration — How Bostrom, Kastrup, and Tan connect
- Empirical Evidence — Hyperscanning, quantum biology, hidden consciousness
- Experimental Predictions — Four testable paradigms
- Research Methods — How to test the FNC model
- Critiques and Responses — Addressing major objections
- Limitations and Future Work — What we don't know yet
- Comparison with Other Theories — IIT, GWT, Panpsychism
- AI Consciousness Assessment — Testing artificial systems
- Research Collaboration — How to get involved
- Experimental Protocols — Detailed methodologies
- Glossary — Key terms and concepts
- Bibliography — Complete reference list
- FAQ — Common questions answered
- October 29, 2025: Wiki launched with comprehensive documentation
- October 29, 2025: Full paper published with DOI
- October 2025: Four experimental paradigms formulated
- October 2025: Initial FNC model development completed
The Field-Node-Cockpit (FNC) model proposes that consciousness operates as:
- Field — Universal information substrate
- Node — Biological/artificial interface system
- Cockpit — Subjective experience point
This framework synthesizes three major consciousness theories:
- Nick Bostrom's Simulation Hypothesis (computational structure)
- Bernardo Kastrup's Analytic Idealism (consciousness primacy)
- Kai H. Tan's Quantum-Holographic Criterion (physical mechanism)
- Testable predictions for consciousness research
- Bridge between philosophy and neuroscience
- New criteria for AI consciousness assessment
- Synthesis rather than competition between theories
- Solution approach to the combination problem
- Informational ontology beyond materialism
- Framework for evaluating AI consciousness
- Ethical guidelines for artificial beings
- Research directions for brain-computer interfaces
- Start with Theory Overview for the basic framework
- Review Empirical Evidence for supporting data
- Examine Experimental Predictions for testable hypotheses
- Check Critiques and Responses for critical analysis
- Read Philosophical Arguments for metaphysical analysis
- Study Theoretical Integration for synthesis methodology
- Engage with Critiques and Responses for objections
- Contribute via Research Collaboration guidelines
- Begin with FAQ for common questions
- Use Glossary for unfamiliar terms
- Explore Theory Overview for main concepts
- Check Bibliography for further reading
Author: Björn Wikström (Independent Researcher)
Email: bjornshomelab@gmail.com
ORCID: 0009-0000-4015-2357
- Open Issues in the GitHub repository
- Email collaboration proposals for research partnerships
- Cite and build upon this work (CC BY 4.0 license)
- Propose experiments to test FNC predictions
This work is licensed under Creative Commons Attribution 4.0 International.
You are free to: Share, adapt, and build upon this material
You must: Provide appropriate attribution
Last updated: October 29, 2025