Symbolic Execution Chip Architecture With Runtime Ethics Gating

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Solution Overview

Problem

Traditional microprocessors lack the capability for symbolic execution and ethical arbitration necessary for advanced generative intelligence (AGI) and artificial general intelligence (ASI), making them vulnerable to adversarial inputs and ethical drift in multimodal systems.

Innovation Solution

A cognitive chip architecture with a symbolic execution unit, multimodal arbitration layer, and runtime ethics gate, integrating transformer-aligned kernels and biometric interrupt lanes, ensures real-time processing and ethical compliance through EEG-driven interfaces and quantum-resistant cryptography.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional microprocessors are used, then binary instruction processing is achieved, but symbolic reasoning and ethical processing capabilities are lost

Engineering Contradiction:

Improvesymbolic reasoning capabilityVSAvoidprocessor architecture complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The processor is divided into distinct functional units: a neural processing unit for symbolic reasoning, a traditional control unit for binary instructions, and an ethics arbitration unit. Each unit handles specific tasks, allowing the system to achieve both symbolic reasoning capability and manageable complexity through functional segmentation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent merges traditional binary instruction processing with neural network-based symbolic reasoning in a single hybrid processor architecture. The neural processing unit and control unit work together to execute both types of operations, enabling the system to perform symbolic reasoning while maintaining compatibility with existing binary instruction sets.

Inventive Principle:

Principle #5Merging (Combining)

2Adaptability or versatility

If neuromorphic chips are used, then neural simulation is improved, but symbolic execution and ethical arbitration are lost

Engineering Contradiction:

Improvesymbolic execution capabilityVSAvoidethical arbitration reliability

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The ethics arbitration unit acts as an intermediary between the neural processing unit and the execution pipeline. It monitors symbolic reasoning operations in real-time, validates outputs against ethical constraints, and can halt execution if violations are detected, thereby ensuring reliable ethical arbitration while preserving symbolic execution capabilities.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary ethical validation of symbolic reasoning outputs before they are executed. The arbitration unit checks potential actions against predefined ethical frameworks in advance, preventing unethical behavior before it occurs rather than correcting it after execution.

Inventive Principle:

Principle #10Preliminary action

3Speed

If real-time processing is implemented, then response speed is improved, but vulnerability to adversarial inputs increases

Engineering Contradiction:

Improveprocessing speedVSAvoidadversarial input resistance

Core Design Contradiction:

SpeedVSReliability

Solution Approach 1:

The ethics arbitration unit provides continuous feedback monitoring of the neural processing unit's operations. When adversarial inputs are detected or ethical violations are identified, the arbitration unit immediately feeds back control signals to halt or correct the processing, maintaining both real-time response capability and resistance to adversarial inputs through active monitoring and correction.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20260010780A1Symbolic Cognitive Execution Architecture for Real-Time AGI/ASI Chipsets and Multimodal Neuromorphic Interfaces

Publication Date: 2026.01.08 ODEH SAMUEL

AI summary

A real-time cognitive processor architecture for AGI/ASI applications is disclosed, integrating symbolic execution, multimodal arbitration, and embedded ethics enforcement at the hardware level. The chip comprises a symbolic execution unit that processes semantically weighted instructions using transformer-aligned kernels and symbolic memory indexing. A multimodal arbitration layer fuses EEG, audio, visual, and tactile inputs through trust scoring, while a runtime ethics gate enforces lawful behavior via embedded circuits. EEG signals are transformed into symbolic primitives and routed through intention-hashed protected memory. The processor supports redundant arbitration cores, post-quantum cryptography, and real-time cognitive OS upgrades. This architecture enables secure, ethics-compliant symbolic cognition with sub-microsecond latency and resilience against adversarial input, hardware exploits, and ethical drift.