Agent-based simulation can be used to model the dynamics of natural systems. each agent represents a low-level component (e.g. a cell), and the finished simulator aims to model the higher level dynamics (e.g.
Reference Number. PI-WH-2017-1018-2-PhD. Project Summary. This project investigates the application of autonomous agents systems and artificial intelligence (AI) to control energy flow in distributed power generation, energy storage devices and flexibles loads.
The aim of this project is to focus on the human-facing aspects of artificial intelligence (AI). The overall aim is to use agent-based modelling to develop mechanisms for norm emergence and behaviour change, to encourage desirable behaviours (e.g.
Video games have been viewed as an ideal test bed for the study of AI. However, most of the academic work in this area focused on traditional board and card games where limited AI techniques have been tested.