Collection
Special Issue: Decision-Making Under Uncertainty: A Multidisciplinary Perspective
- Submission status
- Closed
How do we make good decisions in the presence of uncertainty? This question arises in numerous contexts, including natural resources management and robot planning and 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 special issue calls for papers that provide a multidisciplinary perspective on the theory, practice, and computational techniques for decision-making under uncertainty. Submissions should demonstrate how the work is relevant to researchers from different communities. Examples include theoretical studies of decision models relevant to disparate fields, and novel applications of tools from one field to another.
Potential topics include, but are 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)
Call for Papers Flyer: Decision-Making Under Uncertainty: A Multidisciplinary Perspective
Editors
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Nan Ye ,
Nan Ye
The University of Queensland, Australia
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Hanna Kurniawati
Australian National University, Australia
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Marcus Hoerger
The University of Queensland, Australia
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Dirk Kroese
The University of Queensland, Australia
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Jerzy Filar
The University of Queensland, Australia
Articles (7 in this collection)
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A dynamic model of repositioning with a Markov-switching regime
Authors
- Takeshi Ebina
- Katsumasa Nishide
- Content type: Original Research
- Open Access
- Published: 30 July 2024
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A non-anticipative learning-optimization framework for solving multi-stage stochastic programs
Authors
- Dogacan Yilmaz
- İ. Esra Büyüktahtakın
- Content type: Original Research
- Open Access
- Published: 03 July 2024
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Reliable design of humanitarian supply chain under correlated disruptions: a two-stage distributionally robust approach
Authors
- ChangJun Wang
- Li-Meng-Tao Zhong
- Content type: Original Research
- Published: 28 March 2024
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A modified particle swarm optimization algorithm in a rolling horizon framework for the aggregate production planning problem: pharmaceutical industry case
Authors
- Imen Boujnah
- Mounira Tlili
- Ouajdi Korbaa
- Content type: Original Research
- Published: 20 January 2024
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Inner approximations of coherent lower probabilities and their application to decision making problems
Authors
- Enrique Miranda
- Ignacio Montes
- Andrés Presa
- Content type: Original Research
- Open Access
- Published: 14 September 2023
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Can diverse and conflicting interests of multiple stakeholders be balanced?
Authors
- Miriam F. Bongo
- Charlle L. Sy
- Content type: Original Research
- Published: 09 March 2023
- Pages: 1813 - 1837