Human Influences on Decision Making in Multi-Agent Systems

For safe deployment in the real world, autonomous agents must be capable of reliably achieving and sustaining collective good while operating in dynamic environments alongside humans and other technical agents. In this paper, I detail ongoing research that explores how modelling real-world influences on human behaviour can inform the development of novel approaches for fostering prosocial collective behaviour and beneficial social outcomes in multiagent systems.