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A Temporal, Domain-Based, and Nonlinear Dynamical Framework of Human Consciousness: Integrating Socio-Behavioral Taxonomy, Role Dissonance, Myth-Making, and Dynamical Modeling

Sukhdevbhai Shanabhai Harijan

Zenodo (CERN European Organization for Nuclear Research) July 31, 2026 DOI: 10.5281/zenodo.21723241 (opens in new tab)

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AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Key points Proposes that consciousness models should incorporate temporal orientation, domain-based behavioral archetypes, and a polarity principle, distinguishing intrinsic domain identity from extrinsic functional roles as a basis for future empirical work.

Abstract

Standard neuroscientific models of consciousness — such as Integrated Information Theory (IIT) and Global Workspace Theory (GWT) — primarily focus on neurobiological substrates and subjective phenomenal awareness (qualia). However, they leave unaddressed the structured expressions of consciousness observed through socio-behavioral roles, temporal cognitive orientations, and domain-specific mindsets. This paper presents a multi-layered framework integrating three dimensions: (1) a Temporal Layer (past, present, and future cognition); (2) a Domain-Based Behavioral Layer (a structured taxonomy of 24+ professional, creative, and socio-ethical archetypes); and (3) a Polarity Principle (balanced integration vs. ideological extremism). A minimal nonlinear differential equation C(t) is also incorporated to model dynamic shifts in attentional, memory, and predictive allocation. The framework further distinguishes an individual's intrinsic domain identity (e.g., an artistic or dance-based consciousness) from their extrinsic functional role (e.g., a teaching profession), proposing this as a starting point for future empirical work in social psychology, occupational health, and cognitive s cience.