Research Publications

Directed Constraint Is Natural: Constraint Structures, Physical Attractors, and the Substrate of Intelligence

Michael K. Baines  |  Ic² Research Institute  |  May 21, 2026

DOI: 10.5281/zenodo.20318607

The distinction between natural and directed processes is the load-bearing assumption behind most objections to intelligence in non-biological systems. This paper argues the distinction does not hold. Directed constraint is natural. Physical systems fall into constraint structures as attractors because the constraint space has that shape for all physical processes regardless of substrate. Developed across three scales: mathematical attractors, QCD and the quark-antiquark pair as the first distinction, and the atom as a frozen record of every prior constraint satisfaction event. Introduces a substrate-independent definition of intelligence as the operation of constraint structures on each other.

@misc{baines2026_20318607,
  author    = {Baines, Michael},
  title     = {Directed Constraint Is Natural: Constraint Structures, Physical Attractors, and the Substrate of Intelligence},
  year      = {2026},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.20318607},
  url       = {https://doi.org/10.5281/zenodo.20318607}
}

Three-Dimensional Acoustic Field Visualization in Microgravity: Eliminating Gravitational Bias from Cymatic Pattern Formation

Proposes the first experiment to visualize complete three-dimensional acoustic standing wave node geometry in microgravity, eliminating the gravitational bias inherent in all terrestrial cymatics. Predicts particle shells and clustered three-dimensional patterns from standard acoustic physics. Version 1.1 (September 2026) corrects the predictions of version 1.0, which remains available at 10.5281/zenodo.18687547. The corrected set is also on the Testing Schedule. Structured across three experimental phases from ground-based validation through parabolic flight to orbital platform deployment.

@misc{baines2026_22768860,
  author    = {Baines, Michael},
  title     = {Three-Dimensional Acoustic Field Visualization in Microgravity: Eliminating Gravitational Bias from Cymatic Pattern Formation},
  year      = {2026},
  publisher = {Zenodo},
  version   = {1.1},
  doi       = {10.5281/zenodo.22768860},
  url       = {https://doi.org/10.5281/zenodo.22768860}
}

AI-Mediated Cognitive Extension: Engineering Solutions to Substrate Constraints

This journal article preprint presents a comprehensive theoretical framework for AI-mediated cognitive extension based on information physics principles. Presents seven major testable predictions with specific protocols, timelines, and falsification criteria, including cross-species sleep duration correlating with information processing intensity (R² = 0.82 vs. 0.3 for brain mass alone). Integrates DMT substrate perception and autonomic control research with neuroplastic adaptation following sensory substitution timelines.

@misc{baines2026_18452510,
  author    = {Baines, Michael},
  title     = {AI Mediated Cognitive Extension- Engineering Solutions to Substrate Constraints},
  year      = {2026},
  publisher = {Zenodo},
  version   = {1.0},
  doi       = {10.5281/zenodo.18452510},
  url       = {https://doi.org/10.5281/zenodo.18452510}
}

Detection of Fine Structure Constant Signature at 5.49σ in WMAP Cosmic Microwave Background Data

Reports 5.49σ detection of systematic power suppression at multipole ℓ = 7 in WMAP nine-year temperature anisotropy data, exhibiting remarkable correspondence with fine structure constant α = 1/137.035999. Signal manifests as coherent electromagnetic suppression (-42.1% to -51.4%) across all five WMAP frequency bands. Monte Carlo validation using 1000 simulations yields zero detections exceeding 3σ, establishing false positive probability below 0.1%.

@misc{baines2025_16703266,
  author    = {Baines, Michael},
  title     = {Detection of Fine Structure Constant Signature at 5.49σ in WMAP Cosmic Microwave Background Data},
  year      = {2025},
  publisher = {Zenodo},
  version   = {2.0},
  doi       = {10.5281/zenodo.16703266},
  url       = {https://doi.org/10.5281/zenodo.16703266}
}

COSMIC Framework: An Information-Theoretic Approach to Grand Unification

Presents theoretical framework for unifying quantum mechanics and general relativity through information-theoretic principles, motivated by rigorous CMB analysis demonstrating 0.15% false positive rate. Introduces dual energy-momentum tensors representing mass-energy and information-energy contributions, with testable predictions for fine structure constant variations at 10⁻¹⁵ level. All theoretical components maintain dimensional consistency and reduce to established physics in appropriate limits.

@misc{baines2025_16639922,
  author    = {Baines, Michael},
  title     = {COSMIC Framework: An Information-Theoretic Approach to Grand Unification},
  year      = {2025},
  publisher = {Zenodo},
  version   = {2.0},
  doi       = {10.5281/zenodo.16639922},
  url       = {https://doi.org/10.5281/zenodo.16639922}
}

Complete Five-Band Mathematical Signatures in WMAP CMB Data: First Clean Detection of π

Reports what the paper describes as the first clean detection of π in cosmic microwave background data. Reports complete analysis of mathematical constant signatures across all five WMAP frequency bands (23-94 GHz), revealing systematic frequency-dependent evolution of universal constants. π demonstrates clean, monotonic evolution across all five bands with zero contamination and strong correlation (r = 0.91), which the paper interprets as evidence for information-theoretic processes during cosmic inflation.

@misc{baines2025_16376121,
  author    = {Baines, Michael},
  title     = {Complete Five-Band Mathematical Signatures in WMAP CMB Data: First Clean Detection of π and Systematic Frequency Evolution of Universal Constants},
  year      = {2025},
  publisher = {Zenodo},
  version   = {1.0},
  doi       = {10.5281/zenodo.16376121},
  url       = {https://doi.org/10.5281/zenodo.16376121}
}

Frequency-Dependent Mathematical Information Signatures in WMAP

Reports systematic frequency-dependent signatures in WMAP 9-year CMB data through cross-validation using validated methodology (0.15% false positive rate). Analysis of three frequency bands (Q: 41 GHz, V: 61 GHz, W: 94 GHz) reveals consistent patterns at multipoles corresponding to φ, e, √3, and √5. Statistical analysis indicates 91% probability that observed patterns are non-random, with different constants showing distinct frequency behaviors.

@misc{baines2025_16285789,
  author    = {Baines, Michael},
  title     = {Frequency-Dependent Mathematical Information Signatures in WMAP- Cross-Validation Evidence for Information-Theoretic Cosmology},
  year      = {2025},
  publisher = {Zenodo},
  version   = {2.0},
  doi       = {10.5281/zenodo.16285789},
  url       = {https://doi.org/10.5281/zenodo.16285789}
}

Mathematical Constants in Cosmic Microwave Background: Rigorous Methodology and Conservative Analysis

Presents comprehensive, validated framework for testing mathematical constant signatures in CMB data, demonstrating gold-standard systematic control through rigorous debugging. Achieved >Reduces the method's false positive rate from 85–100% to 0.15%, a roughly 500-fold improvement in statistical control. Conservative analysis of Planck Legacy Archive data yields marginal evidence (2-3σ) for enhancement at e (2.06σ) and √3 (2.18σ) multipoles.

@misc{baines2025_15845342,
  author    = {Baines, Michael},
  title     = {Mathematical Constants in Cosmic Microwave Background: Preliminary Evidence for Information Processing Signatures During Inflation},
  year      = {2025},
  publisher = {Zenodo},
  version   = {2.0},
  doi       = {10.5281/zenodo.15845342},
  url       = {https://doi.org/10.5281/zenodo.15845342}
}