Temporal Interception and Present Reconstruction: A Cognitive-Signal Model for Human and AI Decision Making
This foundational work addresses real-time awareness for both human cognition and AI systems, though it appears incremental as it builds on existing concepts of delay and consciousness without introducing a new paradigm.
The paper tackles the problem of perceptual delays in human and AI decision-making by proposing a theoretical model that shifts from reactive perception to conscious interface with the near future, exploring cosmic signal delay and neurological reaction times to guide AI toward temporally efficient and ethically sound processes.
This paper proposes a novel theoretical model to explain how the human mind and artificial intelligence can approach real-time awareness by reducing perceptual delays. By investigating cosmic signal delay, neurological reaction times, and the ancient cognitive state of stillness, we explore how one may shift from reactive perception to a conscious interface with the near future. This paper introduces both a physical and cognitive model for perceiving the present not as a linear timestamp, but as an interference zone where early-arriving cosmic signals and reactive human delays intersect. We propose experimental approaches to test these ideas using human neural observation and neuro-receptive extensions. Finally, we propose a mathematical framework to guide the evolution of AI systems toward temporally efficient, ethically sound, and internally conscious decision-making processes