Multi-Agent Cooperation With DAG Task Verification and Robot Trust
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Solution Overview
Problem
Multi-agent systems face challenges in ensuring trustworthiness and task completion integrity due to potential attacks from self-failure, malfunctioning, and illegitimate intruders, particularly when robots from different manufacturers collaborate.
Innovation Solution
A multi-agent system utilizing a directed acyclic graph (DAG) with asymmetric encryption for robot identification, where robots physically and cryptographically verify task completion and maintain a reputation system to ensure trustworthiness, using a distributed ledger to track and verify transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If heterogeneous robots from different manufacturers are integrated into the multi-agent system, then the system's functionality and task execution capability are improved, but the challenges in interoperability and security increase
Solution Approach 1:
The patent segments the verification process into multiple independent components: cryptographic verification of robot identities using digital signatures, physical verification of task completion through sensor data, and reputation scoring that evaluates robots independently. This segmentation allows heterogeneous robots to be verified through standardized protocols without requiring trust in their manufacturers, thus maintaining security while enabling diversity.
Solution Approach 2:
The patent introduces an intermediary verification mechanism where a central coordinator or other robots act as intermediaries to verify task completion and robot identities. This intermediary layer abstracts the trust relationship, allowing robots from different manufacturers to interact securely without direct trust assumptions, resolving the contradiction between heterogeneity and security.
2Reliability
If cryptographic verification is performed for each task completion, then the trustworthiness and reliability are improved, but the computational overhead and time consumption increase
Solution Approach 1:
The patent implements preliminary cryptographic verification by pre-establishing digital signatures and certificates for each robot before tasks begin. Robots present these pre-verified credentials during task execution, eliminating the need for time-consuming real-time cryptographic computations. This preliminary action maintains trustworthiness while reducing verification time during actual task completion.
Solution Approach 2:
The system employs self-service verification where robots autonomously perform cryptographic verification of task completion using locally stored verification data and protocols. This eliminates the need for centralized verification bottlenecks, allowing parallel verification operations that reduce overall time consumption while maintaining cryptographic trustworthiness.
3Loss of information
If a distributed ledger is used to track task completion, then the transparency and accountability are improved, but the system complexity and communication overhead increase
Solution Approach 1:
The patent implements a simplified distributed ledger where each robot maintains a local copy of the task completion record rather than requiring a full replicated blockchain. This copying approach provides transparency through local verification capability while dramatically reducing system complexity and communication overhead compared to traditional distributed ledger implementations. The local copies are updated through efficient consensus mechanisms that minimize network traffic.
Data Source
AI summary
A multi-agent system comprising an administrator configured to maintain a directed acyclic graph, hereinafter DAG, and a plurality of autonomous robots using asymmetric encryption for identification to at least one of the administrator other robots of the plurality of autonomous robots and configured for:a robot of the a plurality of autonomous robots to obtain a physical task from a dynamic task list, to perform the physical task and to, upon completion of the task, append task completion information to the DAG; andanother robot of the a plurality of autonomous robots to, independent of the autonomous robots that has appended the completion information to the DAG, physically and cryptographically verify that a task appended to the DAG by the autonomous robot that has appended the completion information to the DAG has been completed in accordance with the completion information, wherein cryptographic verification includes checking a cryptographic identifier of the autonomous robots that has appended the completion information to the DAG.