Information & Computation
This domain contains Coherence Geometry research on information, computation, learning, inference, memory, optimization, and coherence-driven organization in symbolic or computational systems. It studies how information may be represented not only as discrete symbols or stored parameters, but as stable coherence structure formed through phase relation, constraint, projection, and refinement.
In Coherence Geometry, information is not treated only as a symbolic quantity stored in discrete states. It can also appear as structured coherence: alignment, phase relation, constraint satisfaction, basin formation, and stable projection. From this perspective, computation may occur not only through explicit instruction or weight-based optimization, but through the refinement of coherence structure under shared constraints.
Research in this domain includes Coherence-Driven Intelligence, Coherence Information Theory, Constraint Satisfaction and Computational Search, and Quantum Information and Coherence Computation.
Research Topics
Research on intelligence-like behavior, classification, learning, memory, and inference arising from coherence reinforcement under constraint.
Research on information as coherence structure, including encoding, projection, phase relation, signal organization, and inference.
Constraint Satisfaction and Computational Search
Research on coherence-based approaches to satisfiability, optimization, search, and structured problem solving.
Quantum Information and Coherence Computation
Research on qubits, quantum information, phase-based computation, and coherence-theoretic representations of computational state.
Publications List
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Emergent Modular Structure in Coherence-Driven Oscillator Fields: Spontaneous Phase Alignment and Internal Refinement in Conservative Lattices
CGI-RSR-000025 | The paper demonstrates a model where even in single-phase systems, modular segmentation and internal refinement can arise purely from local alignment dynamics. In high-dimensional extensions—such as those used in CDI inference systems—this behavior becomes a scalable mechanism for unsupervised structure formation, analog memory stabilization, and generalization.
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Emergent Intelligence from Coherence-Driven Dynamics: Archival Submission Packages
CGI-RSR-000017 | Archival Nature-format and PNAS-format submission materials for the original EI/CDI computational result. The package reports classification-like behavior arising from coherence-driven refinement in a constrained medium, without conventional supervised training, feature extraction, backpropagation, or weight-based optimization.
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A Coherence-Geometric Substrate for Information, Modulation, and Inference
CGI-RSR-000014 | We examine the foundations of information from a coherence-geometric perspective, treating information not as a collection of independent symbols but as structure arising from constrained phase relationships within a shared energetic substrate, prior to symbolic discretization.
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A Coherence Field Approach to SAT: Linear-Scale Defect Structure and Clause-Centered Repair
Internal ID: CGI-RSR-000002 | We study a coherence-based dynamical representation of Boolean satisfiability in which clauses induce local pressures that generate a field over variables, and assignments evolve by aligning with this field.