How do we make good decisions in the presence of uncertainty? This question arises in numerous contexts, including natural resources management, games, and robot planning & control. The past few decades have seen significant advances in decision-making under uncertainty. These range from new domain-independent methods in areas such as artificial intelligence, statistics, operations research, robot planning, and control theory, to novel domain-specific methods in fields such as ecology, fisheries, economics, and mathematical finance. Unfortunately, progress in one domain may often be easily overlooked by researchers from another community.

This workshop aims to provide a multidisciplinary forum for researchers from disparate fields to discuss recent advances in decision making, identify research challenges, and explore potential collaborations.

We invite contributed talks on topics including but not limited to the following:

Decision models (e.g., Markov Decision Processes (MDPs), POMDPs)

Decision theory (e.g., expected utility theory, bounded rationality)

Planning under uncertainty

Reinforcement learning

Stochastic control (e.g., LQG, robust control)

Operations research

Applications (e.g., natural resource management, robot autonomy, pandemic management, natural disaster response, portfolio management)

We also invite submissions of original research articles to a special issue of the Annals of Operations Research, which is on the same topic as the workshop. A CFP for the special issue will be forthcoming.

Register using the link below to join us in the workshop.

Iadine Chadès, Principal Research Scientist, CSIRO Iadine's research is at the forefront of linking domain sciences such as ecology, epidemiology, synthetic biology with quantitative tools from the field of artificial intelligence (AI). She develops AI methods to provide guidance on how to make smart decisions under imperfect knowledge and resource constraints. With CSIRO, Iadine is currently an activity leader with the MLAI Future Science Platform (2019-) where she focuses on developing ML/AI for decision-making. She is a Chief Investigator with NHMRC Centre for Research Excellence SPECTRUM (Supporting Participatory Evidence generation to Control Transmissible diseases in our Region Using Modelling). From 2012 to 2021, she was the team leader of the Conservation Decisions team (CSIRO, Land and Water) a multisdisciplinary group with expertise in ecology, systematic conservation planning, priority threat management, artificial intelligence, and decision theory.

Alan Hájek, Professor, Australian National University Alan Hájek's research interests include the philosophical foundations of probability and decision theory, epistemology, the philosophy of science, metaphysics, and the philosophy of religion. His paper "What Conditional Probability Could Not Be" won the 2004 American Philosophical Association Article Prize for "the best article published in the previous two years" by a "younger scholar". The Philosopher's Annual selected his "Waging War on Pascal's Wager" as one of the ten best articles in philosophy in 2003. He is a Fellow of the Australian Academy of the Humanities. He was the keynote speaker at the 2007 Chinese Analytic Philosophy Association conference, Wuhan. He was the President of the Australasian Association of Philosophy in 2009-2010. He received the 2012 Award for Excellence in Supervision, ANU College of Arts and Social Sciences. In 2013 he won the ANU-wide Vice-Chancellor's Award for Excellence in Supervision.

TBA

Submit contributed talks at https://tinyurl.com/y47ez5a4. Please still register using the registration link below.

Deadline for submission: 17 June 2022
Notification of accepted submissions: 21 June 2022

Please register at https://tinyurl.com/y2erdlwh. If you are attending in-person, please register before 4 July for catering purpose. Registration for in-person attendance may close before 4 July if we reach the maximum capacity.

Nan Ye, UQ
Hanna Kurniawati, ANU
Marcus Hoerger, UQ
Dirk Kroese, UQ
Jerzy Filar, UQ

Please email dmuu2022@gmail.com if you have any question about the workshop.

The University of Queensland
The Australian Research Council