An updated draft of a model of consciousness made based on information and complexity theory
This paper proposes a formal, information-theoretic model of consciousness in which awareness is defined as the alignment between an observer’s beliefs and the objective description of an object. Consciousness is quantified as the ratio between the complexity of true beliefs and the complexity of the full inherent description of the object. The model introduces three distinct epistemic states: Consciousness (true beliefs), Schizo-Consciousness (false beliefs), and Unconsciousness (absence of belief). Object descriptions are expressed as structured sets of object–quality (O–Q) statements, and belief dynamics are governed by internal belief-updating functions (brain codes) and attentional codes that determine which beliefs are foregrounded at any given time. Crucially, the model treats internal states—such as emotions, memories, and thoughts—as objects with describable properties, allowing it to account for self-awareness, misbelief about oneself, and psychological distortion. This framework enables a unified treatment of external and internal contents of consciousness, supports the simulation of evolving belief structures, and provides a tool for comparative cognition, mental health modeling, and epistemic alignment in artificial agents.
An updated draft of a model of consciousness made based on information and complexity theory
This paper proposes a formal, information-theoretic model of consciousness in which awareness is defined as the alignment between an observer’s beliefs and the objective description of an object. Consciousness is quantified as the ratio between the complexity of true beliefs and the complexity of the full inherent description of the object. The model introduces three distinct epistemic states: Consciousness (true beliefs), Schizo-Consciousness (false beliefs), and Unconsciousness (absence of belief). Object descriptions are expressed as structured sets of object–quality (O–Q) statements, and belief dynamics are governed by internal belief-updating functions (brain codes) and attentional codes that determine which beliefs are foregrounded at any given time. Crucially, the model treats internal states—such as emotions, memories, and thoughts—as objects with describable properties, allowing it to account for self-awareness, misbelief about oneself, and psychological distortion. This framework enables a unified treatment of external and internal contents of consciousness, supports the simulation of evolving belief structures, and provides a tool for comparative cognition, mental health modeling, and epistemic alignment in artificial agents.
The link to the paper:
https://drive.google.com/file/d/12eZWsXgPIJhd9c7KrsfW9EmUk0gER4mu/view?usp=drivesdk