The Omnioticology: A Foundational Science of Transformation
Abstract
Humanity is living through a moment of profound civilizational transition. The accelerating convergence of physical, biological, cognitive, social, and technological systems has generated levels of complexity that exceed the explanatory and governing capacities of existing scientific frameworks. Climate instability, artificial intelligence, epistemic fragmentation, institutional breakdown, and crises of meaning are not isolated phenomena; they are coupled expressions of deeper systemic transformations unfolding across multiple scales simultaneously. Yet the dominant sciences remain largely constrained by disciplinary boundaries, reductionist assumptions, and ontologies inherited from an earlier industrial and mechanistic era. It is within this context that Omniotics is proposed as a foundational science of transformation. Omniotics does not seek to replace existing disciplines, nor does it merely integrate them at the level of interdisciplinarity. Rather, it operates at a meta-scientific level, addressing transformation itself as a primary object of inquiry. Transformation here is understood not as linear change or incremental development, but as emergent reconfiguration—where new structures, meanings, and capacities arise from the dynamic interplay of intelligence, environment, agency, and sensemaking across scales. At the heart of Omniotics lies the Omnia Equation, a formal conceptual construct that articulates transformation (Δ) as a function of Intelligence (I), Environment (E), Agency (A), and the Sensemaking Field (Ψ). This equation does not function as a deterministic formula in the classical sense, but as a generative model for understanding how complex systems evolve, adapt, and reorganize. It draws upon advances in complexity science, systems theory, quantum epistemology, cognitive science, and posthumanist philosophy to articulate a coherent framework for modeling transformation across domains.
Fields of Study & Subjects
Embodied and Extended Cognition
Chaos
Complexity
and Education
Complex Systems and Decision Making
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 January 2026
- Document type
- Book