Norms are utilised in agent societies to encourage acceptable behaviour by the participating
agents. They can be established or revised from the top-down (authority) or from the bottom …

We present Pure-Past Action Masking (PPAM), a lightweight approach to action masking for
safe reinforcement learning. In PPAM, actions are disallowed (“masked”) according to …

Artificial agents will need to be aware of human moral and social norms, and able to use
them in decision-making. In particular, artificial agents will need a principled approach to …

Norms provide a way to model the social architecture of a sociotechnical system (STS) and
are thus crucial for understanding how such a system supports secure collaboration …

To achieve system-level properties of a multiagent system, the behavior of individual agents
should be controlled and coordinated. One way to control agents without limiting their …

Defining the size and shape of hydrocarbon traps is a critical component in estimating the
economic value of potential and existing oil and gas fields and is, therefore, a key business …

To maintain fitness-for-purpose, the set of norms governing a MAS will typically need to
evolve to reflect the changing needs of both participants and the environment. We put …

In multi-agent systems, norm enforcement is a mechanism for steering the behavior of
individual agents in order to achieve desired system-level objectives. Due to the dynamics of …

This article presents a high-level overview of the literature on norms and their uses in multi-
agent systems. We distinguish the main types of norms used in multi-agent systems, and the …

The rise of powerful AI technology for a range of applications that are sensitive to legal,
social, and ethical norms demands decision-making support in presence of norms and …