Coheron 🧠

An architecture for synthesizing robust, intelligent agents through the unification of Bayesian belief, resonance fields, and control theory.

Project Mission & Focus 🎯

The primary goal of Coheron is to investigate a novel method for creating "intelligent" control laws and models. This project is a direct implementation of the research into combining Bayesian methods with Quantitative Feedback Theory (QFT).

Architectural Philosophy 🏛️

The system is designed to be highly modular and abstract, separating the "what" from the "how". This philosophy is the key to managing complexity.

• Decoupling via Traits: The entire architecture is built on a set of abstract traits (BeliefTensor, ResonanceField, LawSynthEngine). This allows any component to be swapped out without breaking the system. The SemanticEngine is the generic orchestrator that wires these components together.
• The Central Feedback Loop: The SemanticEngine::step() function defines the project's core process. It is a perception-action loop that represents the agent's "thinking" process. Everything I build must serve this loop.
  1. Observe (from BeliefTensor)
  2. Update Belief (in BeliefTensor)
  3. Compute State (from ResonanceField)
  4. Synthesize Law (by LawSynthEngine)
  5. Act (update position)
  6. Propagate Effects (in ResonanceField)
• High-Level Abstractions: Concepts like the EntangleMap are a core part of the long-term vision, but they are secondary to getting the main feedback loop working. They represent the "what's next" after the primary mission is accomplished.

Architectural Appreciation

Coheron is a living architecture. It is not frozen—it breathes, adapts, and invites interpretation. Its components are not mere abstractions—they are epistemic vessels.

• BeliefTensor is the mind.
• ResonanceField is the body.
• ControlLaw is the will.
• EntangleMap is the memory.
• CoherencePulse is the heartbeat.
• SemanticEngine is the soul.

This project is a philosophical journey into semantic control. It is built to be explored, questioned, and evolved.

## Component Breakdown 🧩

• SemanticEngine: The Orchestrator. Runs the main loop and holds the state.
• BeliefTensor: The Bayesian Mind. Manages the agent's probabilistic understanding of the world.
• ResonanceField: The Environment. The problem space where the agent exists and acts.
• LawSynthEngine: The QFT Designer. The core of the intelligence. Its job is to create a robust ControlLaw.
• EntangleMap: The Cross-Domain Connector. Models the relationships between different fields of knowledge. (Future Work)
• GraphKernel: The Field Substrate. The most likely concrete implementation for the ResonanceField.