Applied Civilization Systems Engineering: Difference between revisions
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(Created page with "= Applied Civilization Systems Engineering = ''powered by'' '''Open-Source, Integrated Systems Optimization''' == Canon Definition == '''Open-Source, Integrated Systems Optimization''' is the practice of improving civilization-scale outcomes by jointly designing and evolving technical, economic, ecological, and institutional systems through transparent, collaborative, and publicly shared processes. Rather than optimizing isolated components or proprietary subsystems,...") |
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'''Open-Source, Integrated Systems Optimization''' | '''Open-Source, Integrated Systems Optimization''' | ||
= Canon Definition = | |||
'''Open-Source, Integrated Systems Optimization''' is the practice of improving civilization-scale outcomes by jointly designing and evolving technical, economic, ecological, and institutional systems through transparent, collaborative, and publicly shared processes. Rather than optimizing isolated components or proprietary subsystems, optimization occurs through open design grammars, shared artifacts, and swarm-scale collaboration that enables rapid learning, replication, and cumulative improvement. | '''Open-Source, Integrated Systems Optimization''' is the practice of improving civilization-scale outcomes by jointly designing and evolving technical, economic, ecological, and institutional systems through transparent, collaborative, and publicly shared processes. Rather than optimizing isolated components or proprietary subsystems, optimization occurs through open design grammars, shared artifacts, and swarm-scale collaboration that enables rapid learning, replication, and cumulative improvement. | ||
Revision as of 06:39, 26 January 2026
powered by Open-Source, Integrated Systems Optimization
Canon Definition
Open-Source, Integrated Systems Optimization is the practice of improving civilization-scale outcomes by jointly designing and evolving technical, economic, ecological, and institutional systems through transparent, collaborative, and publicly shared processes. Rather than optimizing isolated components or proprietary subsystems, optimization occurs through open design grammars, shared artifacts, and swarm-scale collaboration that enables rapid learning, replication, and cumulative improvement.