Norms and normative multiagent systems have become the subjects of interest for many
researchers. Such interest is caused by the need for agents to exploit the norms in …

How do societies learn and maintain social norms? Here we use multiagent reinforcement
learning to investigate the learning dynamics of enforcement and compliance behaviors …

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 …

Social norms play a pivotal role in sustaining social order by regulating individual behaviors
in a society. In normative multiagent systems, social norms have been used as an efficient …

Many real incidents demonstrate that users of Online Social Networks need mechanisms
that help them manage their interactions by increasing the awareness of the different …

Social norms such as social rules and conventions play a pivotal role in sustaining system
order by regulating and controlling individual behaviors toward a global consensus in large …

The field of convention emergence studies how agents involved in repeated coordination
games can reach consensus through only local interactions. The literature on this topic is …

Multi-agent systems (MAS) have gained relevance in the field of artificial intelligence by
offering tools for modelling complex environments where autonomous agents interact to …

In an autonomous system, rational agents aim to maximize their benefits. Rational agents
gradually give up cooperation with others and only request services, which leads to the …

Norms have facilitated smoother functioning in human societies. In the field of normative
multi-agent systems researchers are interested in investigating how the concept of social …