Game Theory-Inspired Motivation and Blockchain-Enhanced Agent Version Evolution Management and Case Study Design
Kai Ding, Liuqun Fan, Xinbang Zhou, Chengxiao He · Procedia CIRP · 2024
The evolution of versions must be secure and traceable, particularly in asset-sharing systems managed by intricate agents, to bolster the adaptability and service potential of intelligent workshop collaborative frameworks. This article presents a conceptual framework that integrates a blockchain and data space-based hybrid version management model within a customized Industry 4.0 platform. It aims to enhance collaborative management of agent assets by leveraging low-code configuration and implementing incentives for confidentiality. (1) Design a BPMN-driven smart contract Swarm module for user-oriented visualization frameworks. The module is supported by an automated BPMN model and utilizes distributed blockchain technology to facilitate trusted dynamic interactions between multi-stakeholder and Agent version activities; (2) The core activity container framework integrates two-layer distributed container modules from IPFS and industrial data space. By designing interoperable containers based on private and shared versions, and deploying a trust-based dynamic access control model based on game theory, it implements an agent version activity trusted service based on reward and punishment mechanisms; (3) The paper conducted a test case demonstrating the integration of multiple open-source software to create an intelligent agent workshop service prototype built upon the AAS.