Explaining the Uncertainty in AI-Assisted Decision Making

Decision Making under Uncertainty: Operations Research Meets AI (Again)

Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have been studied in operations research for decades. The recent incorporation of ideas from many areas of AI, including planning, probabilistic modeling, machine learning, and knowledge representation) have made these models much more widely applicable. I briefly survey recent advances within AI i...

Decision making under uncertainty

Decision Making with Uncertainty

In this paper we discuss decision making based on incomplete knowledge. Asthe results of our decisions have always some uncertainties in these cases, we developeda method to measure the advantages brought by those possible solutions of our problem,which makes our decision making problem easier. Our proposal is entirely formulizedwithin the so called classical two valued logic, so it has a solid...

Decision making under uncertainty

1 Laboratory of Computational Neuroscience, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland 2 Laboratoire de Recherché en Neuroimagerie, Le Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland 3 Information Processing and Economic Decision Making, Department of Psychology, Universität Konstanz, Konstanz, Germany 4 Economic Psychology, Department of Psychology, Univers...

Decision making with uncertainty