Biological Computation as Charge Guided Geometric Resolution

This paper introduces a new model of biological computation, grounded in geometric field theory and guided charge resolution. Rather than interpreting the body as a biochemical or purely genetic machine, it reframes cellular decision-making as a process of geometric resolution across charge fields. The paper outlines how ions, membrane potentials, and protein conformations act as locally harmonized field structures, enabling efficient and self-correcting computation without centralized control. By treating biology as a distributed geometry of field tensions, this framework unifies perception, energy transfer, healing, and cognition within a charge-guided resolution network—laying the foundation for a field-based understanding of intelligence and longevity in living systems.