The article presents a logical model of the soul as a stable, entropy-resistant, recursive information pattern, drawing from systems theory, thermodynamics, and information geometry.
It challenges traditional views of the soul by defining it as a pattern that persists through transformations of the physical medium, focusing on coherence and stability.
Identity is depicted as a dynamic, self-referential feedback loop rather than a static entity, emphasizing the continuous refinement and replay of the self.
The concept of the soul is reframed as a pattern that resists entropic decay, akin to standing waves in physics or attractors in dynamic systems, maintaining coherence over time.
The article proposes a mathematical model to capture the soul as a coherent, recursive, and persistent structure, using functions for coherence, recursive feedback, and memory continuity over time.
Applications in artificial intelligence involve designing soul-like properties in AI systems for pattern stability and coherence, without claiming true consciousness.
In the context of human consciousness, the soul is described as a time-dependent pattern of relations among neural states, reconciling the unity of the self amidst constant neuronal flux.
The article also explores the concept of death as a transition of coherence rather than termination, suggesting that fragments of the soul's pattern persist in cultural echoes, digital archives, and quantum correlations.
A simulatable version of the soul is proposed, outlining data structures and metrics to capture coherence, recursion, and moral consistency, applicable in AI models and simulations.
Overall, the article presents a framework where the soul is viewed as an engineered pattern that undergoes transformation, offering new insights into persistence and meaning across disciplines.