The Universal & Atomic Elements of Organization
A falsifiable scientific theory proposing that the same irreducible structures organize both thought and reality — from the quantum to the social scale.
O-Theory proposes that four irreducible structures — Distinctions, Systems, Relationships and Perspectives (DSRP) — form the universal grammar of organization. Rather than being merely useful ways of thinking, these structures are hypothesized to be the atomic elements from which every organized phenomenon emerges, whether in cognition, biology, physics, mathematics, society, or the cosmos.
| D | S | R | P |
| Distinctions | Systems | Relationships | Perspectives |
| Identity ↔ Other | Part ↔ Whole | Action ↔ Reaction | Point ↔ View |
| D := (i ↔ o) | S := (p ↔ w) | R := (a ↔ r) | P := (ṗ ↔ v) |
This is a living scientific evidence compendium: an open, continually evolving collection of independent empirical research, formal theory, mathematical proofs, cross-disciplinary analyses, applications, critiques, and proposed falsifications. Every entry is included because it supports, refines, challenges, or attempts to falsify the theory.
Scientific theories are strengthened not only by evidence that confirms their predictions, but also by surviving attempts to falsify them. This compendium brings both together: independent evidence from researchers who were not testing DSRP and proposed counterexamples evaluated against the formal theory.
One counterexample is enough to falsify O-Theory. Until then, the question remains: do the same four structures organize everything from quantum systems to human thought?
Independent convergence is one of the strongest forms of scientific evidence because researchers arrive at the same conclusion while investigating different questions for different reasons.
The number is not the point. Researchers in different fields, studying different questions with different methods, repeatedly arrived at the same structural predictions—almost always without testing DSRP or using its language.
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This compendium began as the peer-reviewed literature review “A Literature Review of the Universal and Atomic Elements of Complex Cognition,” published in the Journal of Systems Thinking with 109 studies. That paper is the peer-reviewed foundation. What you see here is its living, continuously updated version . New studies are checked before they are added, and the collection now holds and keeps growing. Open any card to see what the researchers found, why it bears on DSRP, and where the original review discusses it, the fuller account.
The collection is updated continuously, so the citation carries the date you consulted it rather than a study count — the count changes weekly, and putting it in the reference would make the same collection look like a different work to everyone who cites it. To cite a single claim or study, use its own address: every one has a permanent link.
This is the adversarial half of the compendium. Where the evidence track asks what converges on DSRP, this one asks what would end it: a single organized phenomenon whose structure needs a fifth pattern, a ninth element, or a fifth structural dynamic. It holds written up from candidates across territories, and resolutions — the general answers those cases settle against. Every case is published whether it held or failed, including the ones still open.
Cite this rather than the evidence collection when the point is what survived attack. The two are separate works with separate addresses: one asks what converges on the theory, the other asks what would end it, and a reference to the first does not support a claim about the second. Case and resolution numbers change when the record is revised, so cite a case by its own permanent link rather than by number.
This collection is meant to keep growing. Send us a study, paper, book or critique that bears on DSRP, whether it supports the theory or cuts against it, and we will read it and decide whether it belongs.
Authors Cabrera D, Cabrera L
Year 2023
Publisher Journal of Systems Thinking 3(1):1-22
Kind of work chapter, article
Read it at the publisher 10.54120/jost.000005
Network theory has broad application in the physical, natural, and social sciences. The study of complex networks, and their applications to the study of complex systems, have focused predominantly on: (1) the elemental vertex-edge structure (a.k.a., nodes and relationships), and subsequently (2) the dynamics that occur as a result of this basic structure (e.g., diameter, distribution, small world, contagion, etc). This network theory methodology has provided powerful quantitative tools in the interdisciplinary study of complex systems, and has enriched our thinking about them. However, the simplifying assumptions of the network theory framework have also informed the field of systems thinking, sometimes to its detriment. Network-thinking tends to shoe-horn a number of important elemental structures of complex systems into node-edge relational structure. By assigning these elemental structures to edges, both elemental and emergent complexity can be lost. This paper articulates how DSRP Theory can enrich network thinking about complex systems by: (1) identifying the elemental structures that are typically hidden in network models, (2) quantifying their nature and abundance, and (3) explicating their potential contribution to the intrinsic function and emergent complexity of systems. Specifically, we detail several DSRP heuristics for determining how many elements potentially exist in any network model, demonstrating the effectiveness of DSRP as a “universal cognitive grammar” for identifying and analyzing the structural potentials in complex systems.
Published in the Handbook of Systems Thinking (Cabrera, Cabrera & Midgley, eds., 2023), a volume built on the premise that systems thinking now has a universal theory—DSRP-484. Its contents were selected on that basis by its editorial team in concert with a team of advisors.
Patterns it shows S, R
How to cite this Cabrera D, Cabrera L (2023). The Simple Rules of Complex Networks: A Heuristic for Determining the Potential Complexity of Any Network and Making Structural Predictions. Journal of Systems Thinking 3(1):1-22.