US 2026/0065045 A1Published application

Symbolic EEG-Driven Cognitive Routing Kernel (S-ECRK)

OwnerSamuel Odehinventor

Life of this patent

Estimating the term…

Loading patent…

Abstract

A symbolic neuroadaptive control system is disclosed for real-time arbitration, consent, and ethical modulation of artificial intelligence agents operating in wearable computing environments. The system integrates multimodal biometric telemetry—including high-resolution EEG signals—with a symbolic kernel that performs logic-driven arbitration over cognitive, emotional, and ethical states. Using Coq-verified invariants and zero-knowledge biometric consent tokens, the system constructs a deterministic symbolic execution graph, gating AI outputs based on internal user states such as trauma, stress, or intentionality. Unlike conventional black-box BCI models, the invention routes EEG-inferred affective-symbolic tokens through a formal ethics layer that enforces real-time interrupt control, utility bounding, and trust verification. The kernel enables AGI systems to defer or modify behavior based on user-state alignment, granting sovereign agency over all downstream actions. This neuro-symbolic architecture redefines the interface between human cognition and intelligent machines, enabling emotionally conscious, morally verifiable, and symbolically transparent AI governance in dynamic, high-stakes contexts. The present invention relates to artificial intelligence and neurotechnology, specifically to a real-time, neuro-symbolic operating system kernel that converts electroencephalography (EEG) signals into structured symbolic data for use in emotional cognition, ethical prioritization, autonomous agent dispatch, and real-time telecommunications routing. The invention bridges brain-computer interface (BCI) inputs with symbolic AI architectures to enable ethically aligned machine response during cognitively or emotionally intense events.

a real-time neuro-symbolic routing system for ethically prioritizing autonomous actions and telecommunications transmissions based on cognitive affective brain signals, the system comprising:

a neural signal compiler configured to ingest raw electroencephalographic (EEG) data from a plurality of scalp electrodes and convert the EEG data into symbolic feature vectors using wavelet decomposition, frequency band filtering, and artifact rejection,
a symbolic cognitive mapper operable to interpret the symbolic feature vectors as cognitive-effective primitives selected from a predefined ontology comprising symbols including PANIC, ETHICAL, HESITATION, SUPPRESSION, and CONFIDENCE, the symbolic cognitive mapper comprising a hybrid neuro-symbolic inference engine including logic rules and neural classifiers;
an arbitration bridge configured to compute a symbolic ethical utility score for each of the cognitive affective primitives by evaluating at least emotional salience, moral implication, risk gradient, and cognitive dissonance, and to generate symbolic dispatch decisions of override commands based on configurable threshold polices;
a dispatch controller interface operable to route the symbolic dispatch decisions to one or more agents selected from the group consisting of artificial general intelligence (AGE) nodes, robotic actuators, human-machine collaborative systems, and network communication overlays, the routing being performed via a symbolic instruction graph derived from an output of the arbitration bridge;
a telecom symbol injection layer configured to embed symbolic metadata into telecommunications packet headers for real-time cognitive-prioritized network routing across one or more of:
5G, 6G, VoIP, and satellite systems, and
a symbolic memory kernel operable to persistently store symbolic cognitive states, dispatch outputs, art ethical justifications in a time-indexed audit ledger using hash-inked graph structures for compliance, review, and reinforcement learning.

4 more elements

Abstract

Claims20