Discovery Early Career Researcher Award - Grant ID: DE220100265
Funder
Australian Research Council
Funding Amount
$417,000.00
Summary
A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and ....A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and interpretability in decision making. Expected outcomes will benefit national cybersecurity by improving our understanding of vulnerabilities and threats involving decision actions, and by ensuring that human feedback and evaluations can help prevent catastrophic events in explorations of dynamic and complex environments.Read moreRead less
Multi-model predictions of ecosystem flux under climate change based on novel genetic and image analysis methods. Improving the forecasts of ecosystem shifts must be a key focus of future ecological research if we are to preserve our unique Australian landscapes. Our proposal is of clear benefit to Australia because of the urgent need for integrated methods to predict the cumulative impact of shifts in climate and land use. We will also contribute innovative tools involving genetic and image ana ....Multi-model predictions of ecosystem flux under climate change based on novel genetic and image analysis methods. Improving the forecasts of ecosystem shifts must be a key focus of future ecological research if we are to preserve our unique Australian landscapes. Our proposal is of clear benefit to Australia because of the urgent need for integrated methods to predict the cumulative impact of shifts in climate and land use. We will also contribute innovative tools involving genetic and image analysis, and state-of-the-art modelling. The damage modern human societies are inflicting on global environments has led to a great demand for logistically feasible and cost-effective ways to prevent biodiversity loss.Read moreRead less