In open multi-agent agent systems that cross organisational boundaries, agent actions must be regulated by complex policies. Consider medical data processing systems, which must observe generic laws (e.g., EU data protection regulations) and also specific participants' resource conditions (e.g., Bob consents to sharing his X-Rays with EU hospitals). Presently, we address the implementation of these systems as distributed software. Solutions to key sub-problems are available: existing policy languages capture the necessary normative concepts and formalise the computational representation and reasoning about policies, and existing distributed algorithms and protocols coordinate agents' changing actions and policies. But which policies and protocols are useful in application? With the JustAct framework, we characterise a class of multi-agent systems where actors justify their actions with sufficient policy information collected from dynamic policy statements and agreements. We prove key properties of these systems, e.g., any decision that an action is permitted now cannot be refuted later, regardless of any added statements or updated agreements. We study a particular instance of the framework by specifying (in Rocq) and implementing (in Rust) a particular policy language and runtime system for mediating agent communications. We demonstrate and assess JustAct via a case study of this implementation: we reproduce the usage scenarios of Brane, an existing policy-regulated, inter-domain, medical data processing system.


翻译:在跨越组织边界的开放多智能体系统中,智能体的行为必须受到复杂政策的约束。以医疗数据处理系统为例,其既要遵守通用法规(如欧盟数据保护条例),又需满足特定参与者的资源条件(例如Bob同意将其X光片与欧盟医院共享)。当前,我们将这类系统作为分布式软件加以实现。针对关键子问题的解决方案已经存在:现有政策语言能够捕捉必要的规范概念,并将政策的计算表示与推理形式化;现有的分布式算法与协议则可协调智能体行为与政策的动态变化。但哪些政策与协议在实际应用中具有效用?通过JustAct框架,我们刻画了一类多智能体系统,其中行动者通过从动态政策声明与协议中收集的充分政策信息来论证其行为的正当性。我们证明了此类系统的关键特性,例如:任何当前被判定为允许的行动决策,无论后续添加何种声明或更新协议,均无法在将来被推翻。我们通过具体实例对该框架进行研究:在Rocq中形式化规范并在Rust中实现了一套特定的政策语言与运行时系统,用于协调智能体间的通信。基于该实现的案例研究,我们展示并评估了JustAct框架:复现了现有跨域医疗数据处理系统Brane的政策监管使用场景。

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