Reinforcement Learning (RL) can enhance the adjustment of the traffic signals' phases to
improve the traffic flow. RL methods use ontologies and reasoning to enrich the controllers' …

Emergency management systems' performance relies on effective utilisation of available
resources and timely delivery of designated services. Intelligent transportation systems are …

Ridesharing services offer on-demand transportation solutions while improving the
utilization of the available capacity of the vehicles on the road. Profit, travel time, and cost …

Coordination of vehicles' behaviour is critical at intersections to avoid collisions. Intersection
management is even more challenging when it is required to avoid collisions and address …

We propose a framework that integrates norm entrepreneurship from human society into the
dynamics of an agent society. Most work in agent coordination in a distributed environment …

Abstract Agents in Multi-Agent Systems (MAS) are not always built and controlled by the
system designer, eg, on electronic trading platforms. In this case, there is often a system …

Abstract Normative Multi-Agent Systems (NorMAS) can model real-world applications as
multi-agent systems and facilitate the coordination of the social behaviour of various entities …

Value-alignment in normative multi-agent systems is used to promote a certain value and to
ensure the consistent behavior of agents in autonomous intelligent systems with human …

The aim of this paper is to build a computational model that presents the effects of social
dynamics such as evolution on populations applying the theory of Hobbesian Social …

Norms are useful tools to regulate autonomous agents, and their generality is the focus of
this paper. The generality of norms refers to the extent of behaviors the norms are capable of …