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The aim is to formalize consciousness as the real-time biasing of stochastic neural processes, exploring its evolutionary underpinnings.

March 3, 2026Open Access

Stochastic Biasing Theory (SBT): A Six-Layer Architecture of Conscious Agency

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This theory proposes a new framework for understanding conscious agency through the control of stochastic processes in biological systems.

The aim is to formalize consciousness as the real-time biasing of stochastic neural processes, exploring its evolutionary underpinnings.
Introduces Stochastic Biasing Theory (SBT) as a framework for understanding consciousness.
Explains six-layer architecture to classify agency in relation to stochastic processes.
Analyzes the regulation of biological systems through evolutionary mechanisms.
Establishes a connection between physical dynamics and consciousness through stochastic processes.
Demonstrates that consciousness arises from active control over probabilistic state transitions, independent of behavior.
Proposes criteria for evaluating artificial systems based on their capacity for conscious agency.

Paul Heintzelman (2026) studied this question.

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March 3, 2026Open Access

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Authors

This theory proposes a new framework for understanding conscious agency through the control of stochastic processes in biological systems.

The aim is to formalize consciousness as the real-time biasing of stochastic neural processes, exploring its evolutionary underpinnings.
Introduces Stochastic Biasing Theory (SBT) as a framework for understanding consciousness.
Explains six-layer architecture to classify agency in relation to stochastic processes.
Analyzes the regulation of biological systems through evolutionary mechanisms.
Establishes a connection between physical dynamics and consciousness through stochastic processes.
Demonstrates that consciousness arises from active control over probabilistic state transitions, independent of behavior.
Proposes criteria for evaluating artificial systems based on their capacity for conscious agency.

Paul Heintzelman (2026) studied this question.

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