Self-Modifiable Circuits for Healing Corrupted Instructions
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Solution Overview
Problem
Existing digital computer systems lack computational mechanisms for self-repairing damaged instructions, and there are no general mathematical models for describing how to heal malfunctioning systems, especially in the context of physical systems that are not solely reliant on digital computer instructions.
Innovation Solution
The development of machine-implemented methods for self-modifiability, which involve the use of meta instructions and self-modifiable circuits to repair malfunctioning systems by adding or replacing machine instructions and differential equations, applicable to various machines and electronic circuits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital computer systems execute machine instructions, then computational tasks are performed, but the system lacks self-repair capability when instructions are damaged
Solution Approach 1:
The patent implements self-service by enabling the computational system to automatically detect and repair damaged machine instructions without external intervention. The healing mechanism monitors instruction integrity, identifies corruption, and restores functionality through self-modification of the instruction set, allowing the system to heal itself autonomously
Solution Approach 2:
The patent applies preliminary action by incorporating healing capabilities into the computational architecture before damage occurs. The system pre-configures self-modification mechanisms that are ready to activate upon detecting instruction corruption, performing repair actions in advance before the damage propagates through the system
2Adaptability or versatility
If physical systems are modeled by flow on metric space continuum, then analog computation is enabled, but traditional digital healing mechanisms cannot be applied
Solution Approach 1:
The patent achieves universality by designing a healing mechanism that functions across both digital and analog domains. The self-modification capability is formulated to work with machine instructions in digital systems while also being applicable to continuous physical systems modeled by differential equations, creating a unified healing framework that adapts to different computational paradigms
Solution Approach 2:
The patent applies parameter changes by transitioning the healing approach from discrete digital instruction modification to continuous parameter adjustment in analog systems. The mechanism modifies system parameters and differential equation solutions to restore correct behavior in physical systems, rather than replacing discrete instructions
3Reliability
If self-modifiable circuits are used to heal malfunctioning systems, then repair capability is achieved, but circuit complexity increases
Solution Approach 1:
The patent implements nested doll by embedding healing circuits within the existing circuit architecture. The self-modification mechanisms are nested inside the operational circuits, allowing the healing functionality to be contained within and integrated with the primary circuit functions rather than adding separate external repair systems
Solution Approach 2:
The patent applies merging by combining the healing functionality with the operational circuit functions. The self-modification capabilities are merged with the existing circuit operations, allowing the same circuit elements to serve both computational and self-repair purposes, reducing overall system complexity
Data Source
AI summary
This invention pertains to machines, circuits, and programs that can heal, using a principle of self-modifiability. In some embodiments, a machine can self-modify its machine instructions when one or more instructions are missing or corrupted or malfunctioning. In some embodiments, a machine uses a meta instruction to heal its instructions. In some embodiments, the invention describes a flip-flop circuit that can heal its computation when the circuit is sabotaged by a noise attack. In some embodiments, a self-modifiable circuit uses meta variables and meta operators as a part of the circuit design to heal the circuit when it is attacked.