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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Multi-Dimensional Memory Revisited: Early Research Notebook Pages on Shared Amplitude and Multi-Phase Structure
CGI-HST-000001 | The notebook pages document an early exploratory construction of what later became the multi-phase number / shared-amplitude framework used in Coherence Geometry (CG).
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Emergent Intelligence from Coherence-Driven Dynamics: Archival Submission Packages
CGI-RSR-000017 | This archival package preserves the original Nature-format and PNAS-format submission materials for the Emergent Intelligence / Coherence-Driven Intelligence research program.
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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.