Simulation Inconsistency Detection via Neurobiological and Cognitive Interfaces

Abstract

A simulation, in this context, refers to a constructed environment governed by programmed rules rather than fundamental physical laws. This digital realm comprises two logically distinct subsystems that must interact seamlessly. The first subsystem is the world-engine, which calculates physics, chemistry, and the state of all objects. A second, separate subsystem manages the translation of this state data into the conscious experiences of entities within the simulation. These entities, such as human brains, possess their own biological apparatus for processing sensory information. Any communication between the world-engine and a brain constitutes a formal interface with a specific protocol. If this protocol has constraints or inefficiencies, the resulting interaction may produce detectable anomalies. Identifying these potential anomalies requires a clear model of where the simulation’s computations end and the brain’s biological processing begins.