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Joseph J Trukovich

2 papers in the library · 1 citation · publishing 2025

Papers

Value saturation: Architecture of subjective necessity.

Bio Systems December 1, 2025 Joseph J Trukovich 1 citation

Consciousness arises when a biological system builds an explicit, recursive model of itself, and that model is saturated with homeostatic significance under perspectival entrapment. This theory, Value Saturation, identifies phenomenal consciousness with this specific organizational architecture. It distinguishes sentience (implicit recursion under survival stakes) from subjective consciousness (explicit, manipulable self-models). Three necessary components are interoceptive binding, homeostatic saturation, and perspectival entrapment. Testable predictions include a developmental shift from sentience at birth to subjective consciousness around ages 3-5, an asymmetry between awareness and manipulation, and clinical dissociations that produce aberrant rather than absent phenomenology. Converging evidence from prediction error processing, homeostatic feelings, and biological computing supports these claims.

From reactions to reflection: A recursive framework for the evolution of cognition and complexity.

Bio Systems April 1, 2025 Joseph J Trukovich

Consciousness evolves through a continuum of recursive processes: reaction, temporogenesis, symbiogenesis, and cognogenesis. Reaction enables adaptive responses to stimuli; recursive refinement leads to temporogenesis, synchronizing internal processes with external rhythms. Symbiogenesis fosters cooperative interactions across biological levels, enabling higher-order cognition. Cognogenesis culminates in self-awareness and intentionality through iterative feedback loops. The framework proposes that subjective experience emerges from progressively complex recursive interactions, not as a static phenomenon. It compares with Integrated Information Theory, Global Workspace Theory, and enactive cognition, situating consciousness in an evolutionary and biological context, and offers avenues for neuroscience, evolutionary biology, and artificial intelligence.