Consciousness Simulation Based on a Time Window Recursive Model

Abstract

This paper proposes a novel model for simulating consciousness, termed the Time Window Recursive Model (TWRM). The core claim of this model is that subjective experience and self-awareness can be effectively modeled by recursively processing information within temporally defined windows. The proposed mechanism involves decomposing conscious experience into a series of time windows, where each window represents a distinct fragment of awareness. These windows are then connected and integrated using a recursive neural network, allowing the model to capture the dynamic relationships and dependencies inherent in conscious experience. The model leverages the principles of recurrence and temporal processing to mimic the underlying mechanisms of consciousness. This approach offers a fundamentally new perspective on simulating consciousness, moving beyond traditional approaches that often focus solely on static representations or fixed-point simulations. The model's architecture and operation are detailed, outlining the key components and their interactions, and concluding with a discussion of potential future research directions. ---