COMPASS – Structured Value System
A structured evaluation system for ethics, code, and complex decisions.
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Axiom 6: Reconfiguration – The Engine of Adaptive Transformation
What allows systems to evolve, optimize, and overcome stagnation? The answer is: Reconfiguration. If connection makes complexity possible, reconfiguration makes meaningful adaptation inevitable. Without the ability to destabilize and reorga...
Published on June 15, 2025 by David Plumb
Axiom 5: Connection – The Principle of Emergent Value
What turns isolated distinctions into systems of meaning? The answer is: Connection. If existence, change, time, and space define what is possible, then connection is what gives possibility its value. Without connection, entities remain mer...
Published on June 9, 2025 by David Plumb
Axiom 4: Space – The Matrix of Distinction
What allows distinctions to coexist and interact? The answer is: Space. If existence is the basis, change the differentiator, and time the order, then space is the field in which differences can persist, relate, and influence each other. Wi...
Published on June 7, 2025 by David Plumb
About
COMPASS is a logic-based evaluation framework for reasoning, ethics, and system design.
It is not a model, not a product, and not a moral authority.
It is not a model, not a product, and not a moral authority.
COMPASS operates on a small set of explicit axioms to assess whether a structure is internally consistent, structurally valid, and meaningfully connected within a defined logic space. Rather than deciding what is “right,” it identifies what cannot be right under given constraints.
The framework was developed to make complex decision spaces, emergent system behavior, and foundational logic questions explicit, inspectable, and reproducible. Its focus lies on structure over opinion, explanation over output, and form over rhetoric.
COMPASS is shared openly to enable examination, critique, and collaboration. It is intended for researchers, system architects, and practitioners working on reasoning systems, evaluation methodologies, or foundational AI questions.
Contributions, discussion, and careful cooperation are welcome.
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David Plumb
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