economic systems - TOWARDS LIFE-KNOWLEDGE

Contemporary global systems exhibit converging failures across biological, social, and ecological domains, manifesting as chronic disease, institutional instability, and environmental degradation. These phenomena are typically addressed as discrete problems; however, this manuscript advances the thesis that they arise from a common underlying condition: the loss of coherence across systems. Coherence is defined as the dynamic alignment of processes that enables living systems to sense, respond, and sustain their functional integrity over time.

Drawing from systems biology, developmental neuroscience, ecological theory, and socio-economic analysis, this work establishes a unifying framework in which value is grounded in the enhancement of life capacities. It demonstrates how modern economic and governance systems, through abstraction, metric substitution, and feedback distortion, have become decoupled from the conditions they depend upon, resulting in systemic incoherence. The concept of the “Ruling Group Mind” is introduced as a distributed structural pattern that perpetuates this misalignment.

The manuscript develops a multi-level architecture of coherence spanning biological regulation, developmental conditions, relational systems, emotional sentience, institutional design, economic provisioning, governance frameworks, and the stewardship of the commons. It articulates a set of design principles for coherent systems, emphasizing feedback integrity, distributed power, temporal alignment, and adaptive capacity. These principles are operationalized through a redefinition of the economy as a living system of provisioning and the commons as the foundational substrate of collective life.

Finally, the work addresses the processes of transition, healing, and systemic transformation, integrating structural redesign with the cultivation of individual and collective capacities required for sustained coherence. The concept of a “field of coherence” is proposed to describe the emergent alignment of systems across scales.

This framework provides a basis for reorienting policy, practice, and institutional design toward the conditions that sustain life, offering a unifying lens for addressing complex, interdependent challenges in the 21st century.

Complex systems do not fail abruptly; they drift toward failure through progressive degradation of relational coherence. Prior work has established that such systems are best understood not through isolated variables, but through a minimal set of interdependent functional roles governing constraints, margins, state, disturbance, perception, regulation, and options. These relationships generate early warning signals — path dependence, cross-channel divergence, increasing variability, and delayed recovery — that precede visible breakdown.

However, real-world application reveals a critical limitation: systems do not merely fail to perceive these signals — they often distort, suppress, or reinterpret them. Furthermore, observers are not external to the systems they analyze; they are embedded within them, subject to the same constraints, incentives, and perceptual limitations. This introduces a participatory dimension to system dynamics, in which perception, interpretation, and action are inherently partial and conditioned.

This work extends the viability framework by integrating three essential dimensions: (1) distortion-aware perception, recognizing that signals are filtered through structural, institutional, and cognitive constraints; (2) participatory observation, acknowledging that decision-makers are components of the system and must account for their own positional limitations; and (3) prevention as a primary mode of operation, reframing action from reactive intervention to upstream maintenance of relational coherence.

A practical methodology is developed through the concept of the “altimeter,” a minimal diagnostic tool translating structural signals into observable proxies, enabling early detection of systemic drift. This is coupled with the Minimal Intervention Principle, which prescribes acting only to the extent necessary to preserve coherence while minimizing unnecessary consumption of margin.

The framework is applied across clinical medicine, infrastructure systems, and economic governance, demonstrating consistent patterns of distortion, delayed recognition, and over-intervention. Across domains, effective navigation is shown to depend on early, minimal, and reversible actions aligned with system structure rather than variable control.

Ultimately, this work reframes system management as a discipline of participation: acting from within systems under constraint, with partial knowledge, and in the presence of distortion. Coherence is not achieved through control, but through disciplined awareness, restraint, and prevention.