PhilArchive
open access
Abolishing the Last Ontological Illusion: The Systemic Continuum Paradigm and the End of Artificiality
Since Ludwig von Bertalanffy’s (1968) inception of General System Theory, there has been a longstanding aspiration to achieve a unifying framework for understanding the organization of living, technological, and social systems. However, one historical obstacle has been the assumption that “natural” and “artificial” belong to separate ontological realms. This manuscript introduces the Systemic Continuum Paradigm (SCP), a perspective positing that every form of organization—biological, technological, social, and even phenomena in fundamental physics—belongs to one evolving continuum of emergent self-organization. Rather than viewing human systems as external to “nature,” the SCP maintains that the rigid distinction between the natural and the artificial is an anthropocentric bias, not a fundamental fact. Two conceptual pillars underpin this paradigm: ● Principle of Systemic Balance (SB): Emphasizes the dynamic interplay of all agents (including humans) as internal ingredients of a global network, rather than mere external managers. ● Phenomenological Systems: Provides a lens to explore how human consciousness and subjective experience manifest and contribute to emergent processes within this continuum. The manuscript unifies findings from multiple disciplines, reviewing concrete empirical indicators. For instance, it examines how coral cover in the Caribbean (which declined from 35% to 20% between 2000 and 2010, according to GCRMN, 2021) relates to the loss of synergy in a reef, contrasting it with urban resilience following natural disasters. Moreover, the paper introduces a roadmap for experimentally validating the proposed ideas, including operational metrics for quantifying Systemic Balance and synergy thresholds (ICS, CNS, MDO, SDI). Ethical and policy implications are discussed, arguing that overcoming the natural/artificial dichotomy enables more integrated and effective approaches in AI governance, ecological resilience, and sustainability. Finally, in the realm of fundamental physics, the SCP suggests that phenomena such as gravity or dark energy might be conceived as emergent properties dependent on certain organizational thresholds, offering an alternative path toward unifying forces. Taken together, the argument proposes a paradigm shift that dissolves deeply entrenched conceptual barriers. By considering life, technology, cognition, and cosmology under one systemic continuum, we advance a more holistic understanding of organizational emergence at all levels—one that not only unifies scattered theories but also provides practical tools for tackling complex challenges in an interconnected world, transcending the outdated dichotomy between the “natural” and the “artificial.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Hierarchical Definition of Systemic Balance in the Systemic Continuum Paradigm: Toward a Unified Theory of Emergent Organization#70676
- Self-Organization, Emergence, and Constraint in Complex Natural Systems#747524
- Catalyzing the Systemic Continuum: A Summative Essay from Force Monopolies in Physics to the Emergence of Intelligence#109941
- Systemic Physics and the Architecture of Emergence: An Ontological Manifesto#111341
- The Nodal Existence White Paper#108896
Record · ID 95577
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive