Julian Padget, Marina De Vos, Charlie Ann Page
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Main track. Pages 475-481. https://doi.org/10.24963/ijcai.2018/66
Normative capabilities in multi-agent systems (MAS) can be represented within agents, separately as institutions, or a blend of the two. This paper addresses how to extend the principles of open MAS to the provision of normative reasoning capabilities, which are currently either embedded in existing MAS platforms - tightly coupled and inaccessible - or not present. We use a resource-oriented architecture (ROA) pattern, that we call deontic sensors, to make normative reasoning part of an open MAS architecture. The pattern specifies how to loosely couple MAS and normative frameworks, such that each is agnostic of the other, while augmenting the brute facts that an agent perceives with institutional facts, that capture each institution's interpretation of an agent's action. In consequence, a MAS without normative capabilities can acquire them, and an embedded normative framework can be de-coupled and opened to other MAS platforms. More importantly, the deontic sensor pattern allows normative reasoning to be published as services, opening routes to certification and re-use, creation of (formalized) trust and non-specialist access to "on demand'' normative reasoning.
Agent-based and Multi-agent Systems: Normative systems
Agent-based and Multi-agent Systems: Engineering Methods, Platforms, Languages and Tools
Multidisciplinary Topics and Applications: Knowledge-based Software Engineering