A fundamental problem in AI is how to endow artificial agents with the ability to autonomously form useful high-level behaviours (for example, grasping) from available behavioural units (for example, primitive sensory and motor actions available to a robot).
Reference Number. ML-2018-PhD-1. Project Summary. This research project explores the use and development of an integrated simulation model for the study of patient flow in hospitals and its dynamic effects on staffing, patients, and resources.
Consumers’ choices of goods should not vary with changes in the procedure by which they are made or with the description. In this “consequentialist” view, choices should only depend on their likely consequences.
The transition from arboreal to terrestrial life has long been recognized as the major ecological transition in early human evolution that led to the evolution of bipedal locomotion and thus freed the hands from locomotor activities, and allowed the manufacture of stone tools.
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.