Modeling the dynamics of multi-agent learning has long been an important research topic.
The focus of previous research has been either on 2-agent settings or well-mixed infinitely …

Complex systems often exhibit emergent behaviour, unexpected macro-level behaviour
caused by the interaction of micro-level components. In multiagent systems, these micro …

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 …

Most often, both agents and human societies use norms to coordinate their on-going
activities. Nevertheless, choosing the 'right'set of norms to regulate these societies …

Normative systems (norms) have been widely proposed as a technique for coordinating
multi-agent systems. The automated synthesis of norms for coordination remains an open …

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 …

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 …

Norms constitute regulative mechanisms extensively enacted in groups, organisations, and
societies. However,'choosing the right norms to establish'constitutes an open problem that …

Most normative systems make use of explicit representations of norms (namely, obligations,
prohibitions, and permissions) and associated mechanisms to support the self-regulation of …

Norms have been extensively studied to coordinate multi-agent systems, and the literature
has investigated two general approaches to norm synthesis: off-line (synthesising norms at …