Coordination science is a framework that derives coordination patterns from proven impossibility theorems. Just as thermodynamics derives engine limits from "no perpetual motion," coordination science derives organizational limits from CAP, Byzantine, Arrow, and other fundamental impossibility results.

The framework provides a rigorous foundation for understanding why coordination fails, predicting where it will break, and designing systems that work within physical constraints rather than against them. It unifies insights from distributed computing, information theory, game theory, and organizational science under a single mathematical structure.

Seven Operators

The primitive operations that compose all coordination: Attractor, Memory, Boundary, Coupling, Compression, Agency, and Interface. Every coordination pattern can be decomposed into these operators.

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Six Conservation Laws

Constraints that bound what's possible, derived from Byzantine bounds, Shannon capacity, Cheeger inequality, and Bekenstein bound. These laws cannot be circumvented, only traded off.

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Coordination Patterns

What emerges from operator composition under law constraints. Patterns like hierarchy, market, network, and commons each represent stable solutions to coordination problems.

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Pattern Explorer

Reveal the operator composition of any coordination phenomenon. Results are saved for the community.