An Ego-Self Attunement Dynamics via a Retrocausal-Attractor Steering Self Awareness: A Hyperdimensional & Chaos Theory Framework

Abstract

The mind-brain interface is expounded as a hyperdimensional Retrocausal-Attractor setting a feedback loop (at sub-quantum scale), alike neural networks’ feedback-based self-organization. The RC-Attractor models intention and decision as the interplay of proactive influences on an event-in-making-constellation, and retroactive ones on the operator. In a higher-dimensional Lorenz Model (with both chaotic and point-attractors), the conscious-flow creates an extended present (the saddle), influenced by past/present memories/behaviors and by a feedback loop from the intended/anticipated event-in-making. Complexified, the Dorje–Retrocausal-Attractor (with two centers of consciousness: hyperdimensional Self and spacetime ego) controls an ego-Self attunement and double-correction dynamics, which brings forth thought-complexification, self-awareness, and ethical conscience.