Autonomous Computing Engine Using Anticipatory Instruction Sets
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Solution Overview
Problem
Existing computing devices and software applications require manual user intervention to execute desired operations, which is time-consuming and often limited to trained operators, thereby increasing costs.
Innovation Solution
A system comprising a computing device with a processor circuit, memory unit, and an interface that receives and executes multiple instruction sets, including a comparative instruction set and an anticipatory instruction set, stored in a knowledgebase, allowing for autonomous application operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user intervention is used to operate computing devices and software applications, then ease of operation is maintained for trained operators, but productivity is reduced and operational costs increase
Solution Approach 1:
The system enables computing devices and software applications to operate autonomously without manual user intervention. The autonomous operation system performs tasks automatically by processing instruction sets, comparing them against a knowledgebase, and executing appropriate actions, thereby making the system self-sufficient and eliminating the need for continuous human operation.
Solution Approach 2:
The system pre-processes and stores instruction sets in a knowledgebase before they are needed for execution. By anticipating future operations and preparing instruction sets in advance, the system can quickly retrieve and execute appropriate instructions when needed, improving both productivity and operational efficiency without requiring manual intervention.
2Reliability
If manual user intervention is required to operate computing devices, then operational control is maintained, but time consumption increases
Solution Approach 1:
The autonomous operation system incorporates feedback mechanisms where the processor circuit continuously monitors system state, compares current operations with stored instruction sets in the knowledgebase, and adjusts execution accordingly. This feedback loop ensures reliable operational control while automating time-consuming manual tasks, thereby reducing time consumption without sacrificing control.
3Measurement precision
If trained operators are used to operate complex computing devices, then operational accuracy is maintained, but operational costs increase
Solution Approach 1:
The system creates digital copies of expert knowledge by storing instruction sets in a knowledgebase that encapsulate the operational expertise previously held only by trained operators. These copied knowledge representations can be retrieved and executed automatically, maintaining operational accuracy while eliminating the need for expensive human operators.
Data Source
AI summary
Aspects of the disclosure generally relate to computing devices and may be generally directed to devices, systems, methods, and/or applications for learning the operation of a computing device or software application, storing this knowledge in a knowledgebase, neural network, or other repository, and enabling autonomous operation of the computing device or software application with partial, minimal, or no user input.