This framework integrates principles from control theory and adaptive systems to enhance stability in complex systems, suggesting improved governance approaches.
This paper presents a formal framework for governing complex adaptive systems through a continuous phase-space representation, referred to as OCEAN (Operational Continuous Environment for Adaptive Navigation). The approach integrates principles from control theory, dynamical systems theory, differential geometry, and computational neuroscience. The central hypothesis is that system-level stability is more effectively achieved by shaping the metric structure of the environment than by issuing discrete control commands to individual agents. Within this paradigm, control is reinterpreted as navigation in a continuous field defined by stability gradients. All original mechanisms, indices, and formal expressions introduced in this work, including stability formulations and derived control principles, are the exclusive intellectual property of Roman Borisovich Lukin.
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Roman Lukin (2026) studied this question.
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