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April 14, 2026Open Access

TSCG: The Transdisciplinary System Construction Game

Key Points

The aim is to present a modeling framework for analyzing and designing complex systems across different disciplines.
Developed through 25 years of collaboration with Claude AI (Anthropic).
Utilizes a bicephalous architecture based on Korzybski's map-territory distinction.
Formalized using tensor algebra within a four-layer hierarchical ontology and 80 atomic GenericConcepts.
Validation through 22 poclets representing various domains such as biology and electronics.
Introduced noise-reduction mechanisms yielding significant concept reductions in domain frameworks.
Flow admitted non-negative values, leading to formalization of a causal chain for irreversibility.
Created HTML simulations for ten poclets, enabling interactive learning and modeling.

Abstract

This paper presents the Transdisciplinary System Construction Game (TSCG) version v5.0, a modeling framework for analyzing and designing complex systems across disciplinary boundaries. Born from over twenty-five years of creative reflection and developed through sustained collaboration with Claude AI (Anthropic), the framework synthesizes systems theory, cybernetics, phenomenology, and semantic web technologies into a practical construction kit. TSCG proposes a bicephalous architecture grounded in Korzybski's map-territory distinction: the Eagle Eye (ASFID: Attractor, Structure, Flow, Information, Dynamics) measures the Territory; the Sphinx Eye (REVOI: Representability, Evolvability, Verifiability, Observability, Interoperability) constructs the Map. The framework is formalized through tensor algebra across a four-layer hierarchical ontology (M3→M2→M1→M0) implemented in JSON-LD. The ontological core comprises 80 atomic GenericConcepts organized into 9 families. Three noise-reduction mechanisms prevent ontological proliferation: GenericConceptCombo (~31% concept reduction), KnowledgeFieldConceptCombo (up to 97% domain concept reduction), and Paired GenericConcepts (additional constraint on unwarranted binary combinations). Validation is conducted through 22 poclets — minimal, complete, pedagogical system models — spanning photography, Norse mythology, nuclear engineering, biology, electronics, music theory, and blockchain consensus. A notable addition is the relaxation of a foundational axiom: Flow now admits F ≥ 0, enabling formalization of a causal chain for irreversibility: Dissipation → Entropy → Inertia → Absorbing State. Ten poclets are accompanied by standalone HTML simulations forming the TSCG Poclet Gallery (https://echopraxium.github.io/tscg/). TSCG is submitted as a Systemic Esperanto — a shared vocabulary for recognizing structural kinship across disciplines — not as a Theory of Everything, but as an open, community-revisable construction kit. Developed in collaboration with Claude AI (Anthropic). Acknowledgments: The author thanks Claude AI (Anthropic) for sustained collaboration throughout the development of the TSCG framework, and DeepSeek for assistance in revising the abstract, refining the description of noise-reduction mechanisms, and preparing this manuscript. The final scientific content remains solely under the author's responsibility. Version history: v1.0 (2024), v2.0 (2025), v3.0 (Feb 2026, DOI: 10.5281/zenodo.18471860), v4.0 (Mar 2026), v5.0 (Apr 2026 – this deposit). Repository: https://github.com/Echopraxium/tscgLive Poclet Gallery: https://echopraxium.github.io/tscg/

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Michel KERN (Mon,) studied this question.

synapsesocial.com/papers/69ddd975e195c95cdefd6c70 https://doi.org/https://doi.org/10.5281/zenodo.19544443

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