Hardware Interface Device Orchestrating Digital Agent Skills
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Solution Overview
Problem
Industrial processes face challenges in automating digital agent communication and enabling hardware interface devices to interact with various devices for operational functionality, as they struggle to autonomously sequence and combine digital knowledge and skills to perform tasks efficiently.
Innovation Solution
A system comprising a processor and a knowledge fabric that retrieves queries, selects and executes digital skills, and enables hardware interface devices to interact with devices by orchestrating digital agents and skills using artificial intelligence methods, allowing for the automation of digital agent communication and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If digital agents autonomously sequence and combine digital knowledge and skills, then operational functionality is improved, but device complexity increases
Solution Approach 1:
The patent introduces a hardware interface device as an intermediary between digital agents and various devices. This interface device manages the complexity of sequencing and combining digital knowledge and skills, allowing digital agents to interact with multiple devices without directly handling the complexity. The interface device acts as a mediator that translates agent queries into coordinated device operations.
Solution Approach 2:
The hardware interface device is designed with multi-functionality to interact with various types of devices through standardized interfaces. It provides universal capabilities for receiving queries from digital agents, accessing digital knowledge elements, and coordinating operations across different device types, thereby reducing overall system complexity while improving operational functionality.
2Adaptability or versatility
If hardware interface devices interact with various devices, then adaptability is improved, but device complexity increases
Solution Approach 1:
The hardware interface device implements universality by providing standardized interaction protocols and interfaces that work across multiple device types. It maintains a library of digital knowledge elements and skills that enable it to adapt to different devices without requiring device-specific complex logic, thus improving adaptability while managing complexity through standardization.
Solution Approach 2:
The system manages adaptability by dynamically changing operational parameters based on the target device type. The hardware interface device adjusts its behavior and communication protocols according to the specific device being accessed, while maintaining a consistent high-level interface with digital agents. This parameter-based adaptation allows versatility without proportionally increasing complexity.
3Productivity
If digital skills are selected and executed through orchestration, then productivity is improved, but ease of operation decreases
Solution Approach 1:
The system implements self-service by enabling digital agents to autonomously retrieve queries, select appropriate digital skills from available knowledge elements, and execute operations without human intervention. The hardware interface device automatically manages the orchestration process, selecting and coordinating skills based on the query and available devices, thereby improving productivity while reducing the operational burden on users.
Solution Approach 2:
The hardware interface device performs preliminary actions by pre-organizing digital knowledge elements and skills into accessible structures. It prepares and sequences appropriate skills in advance based on common operational patterns, so that when a query is received, the system can quickly select and execute the appropriate skills without requiring complex real-time decision-making, thus improving productivity while maintaining ease of operation.
Data Source
AI summary
A system, method, and computer program product for implementing automated digital agent communication and control is provided. The method includes retrieving from a digital agent, a query associated with knowledge based control process. Digital knowledge elements, associated digital skills, and a sequence of control operations are received to obtain a response to the query. A first possible set of knowledge of a set of digital knowledge elements, skills, and an associated sequence of operation are selected and the first possible set of knowledge, skills, and associated sequence of operation are transmitted to the digital agent. A sequence of skills are executed with respect to digital knowledge elements and components and a hardware interface device is enabled to interact with and control various devices for enabling operational functionality associated with devices. Knowledge based fabric code associated with future instances of enabling the hardware interface device is updated.