Complex adaptation
Civilizational outcomes emerge from heterogeneous actors, networks, institutions, environments, and feedback under incomplete information and unequal power.
The field definition, core propositions, research architecture, and epistemic status in one reference page.
Civilization Science is the proposed interdisciplinary study of the formation, functioning, stability, transformation, and long-term continuity of large-scale human systems as complex adaptive systems.
Its research object is not a civilization ranking or a deterministic theory of rise and fall. It is a bounded inquiry into observable relations among cooperation, trust-legitimacy, usable capacity, entropy pressure, institutions, networks, technologies, ecosystems, meaning, and continuity.
Civilizational outcomes emerge from heterogeneous actors, networks, institutions, environments, and feedback under incomplete information and unequal power.
Cooperation, trust-legitimacy, and usable capacity may interact multiplicatively, while entropy pressure may reduce bounded stability.
The measurement function S = G(x) must be separated from the transition law xₜ₊₁ = F(xₜ,…).
The full ontology is reduced to an identifiable state vector through an explicit, validated dimensional-reduction protocol.
Civilization engineering is limited to reversible, evidence-based, rights-preserving interventions with independent review.
Definitions, boundaries, ontology, levels, equations, variables, dynamics, mechanisms, measurement, and falsifiability.
Foundations; civilizational physics; measurement and warning; life continuity; human-agent coordination; meaning, contribution, and value.
Forty volumes: seven foundational works reported as formed and thirty-three open research volumes.
CCWS, CPC, Meaning Economics, AI Agent Economics, Life-Value Continuity, EverLifeX, and GEO remain separately testable.