  Norms represent behavioural aspects that are encouraged by a social group of
agents or the majority of agents in a system. Normative systems enable
coordinating synthesised norms of heterogeneous agents in complex multi-agent
systems autonomously. In real applications, agents have multiple objectives
that may contradict each other or contradict the synthesised norms. Therefore,
agents need a mechanism to understand the impact of a suggested norm on their
objectives and decide whether or not to adopt it. To address these challenges,
a utility based norm synthesis (UNS) model is proposed which allows the agents
to coordinate their behaviour while achieving their conflicting objectives. UNS
proposes a utility-based case-based reasoning technique, using case-based
reasoning for run-time norm synthesising in a centralised approach, and a
utility function derived from the objectives of the system and its operating
agents to decide whether or not to adopt a norm. The model is evaluated using a
two intersecting roads scenario and the results show its efficacy to optimise
multiple objectives while adopting synthesised norms.
