Abstract

Smart manufacturing is a challenging trend being fostered by the Industry 4.0 paradigm. In this scenario Multi-Agent Systems (MAS) are particularly elected for modeling such types of intelligent, decentralised processes, thanks to their autonomy in pursuing collective and cooperative goals. From a human perspective, however, increasing the confidence in trustworthiness of MAS based Cyber-physical Production Systems (CPPS) remains a significant challenge. Manufacturing services must comply with strong requirements in terms of reliability, robustness and latency, and solution providers are expected to ensure that agents will operate within certain boundaries of the production, and mitigate unattended behaviours during the execution of manufacturing activities. To address this concern, a Manufacturing Agent Accountability Framework is proposed, a dynamic authorization framework that defines and enforces boundaries in which agents are freely permitted to exploit their intelligence to reach individual and collective objectives. The expected behaviour of agents is to adhere to CPPS workflows which implicitly define acceptable regions of behaviours and production feasibility. Core contributions of the proposed framework are: a manufacturing accountability model, the representation of the Leaf Diagrams for the governance of agent behavioural autonomy, and an ontology of declarative policies for the identification and avoidance of ill-intentioned behaviours in the execution of CPPS services. We outline the application of this enhanced trustworthiness framework to an agent-based manufacturing use-case for the production of a variety of hand tools.

中文翻译：

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迈向可信赖的网络物理生产系统：动态的代理商问责制

摘要

智能制造是工业4.0范式所孕育的具有挑战性的趋势。在这种情况下，多代理系统（MAS）特别适合建模这类智能，分散的流程，这要归功于它们在追求集体和合作目标方面的自主权。但是，从人的角度来看，提高基于MAS的网络物理生产系统（CPPS）的可信度仍然是一项重大挑战。制造服务必须在可靠性，健壮性和延迟方面符合严格的要求，并且解决方案提供商应确保代理在生产的某些边界内运行，并减轻制造活动执行过程中的无人照管行为。为了解决这个问题，提出了制造代理商问责制框架，这是一个动态授权框架，该框架定义并强制执行了以下限制：允许代理商自由使用其智能以实现个人和集体目标。代理商的预期行为是遵守CPPS工作流程，该流程隐式定义行为和生产可行性的可接受区域。拟议框架的核心贡献是：制造责任模型，叶子图的表示代理行为自治的治理，以及用于在执行CPPS服务过程中识别和避免不良行为的声明性策略的本体。我们概述了此增强的信任框架在基于代理的制造用例上的应用，以用于生产各种手动工具。