Decision-making under Uncertainty: A Cognitive Approach

Decision Making under Uncertainty: A Quasimetric Approach

We propose a new approach for solving a class of discrete decision making problems under uncertainty with positive cost. This issue concerns multiple and diverse fields such as engineering, economics, artificial intelligence, cognitive science and many others. Basically, an agent has to choose a single or series of actions from a set of options, without knowing for sure their consequences. Sche...

Cognitive Constraints on Decision Making under Uncertainty

IntroductIon Models of decision making under uncertainty should be grounded in general cognitive processes reflecting pervasive constraints from the nature of our environment. Developing integrated models applicable across different tasks provides converging constraints that increase the predictiveness of models to new situations. Decision making is such a rich discipline that it is often consi...

Decision making under uncertainty

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 under Uncertainty and Complexity: a grounded theory approach

The topic of this paper contributes to understand the process of decision-making under uncertainty and complexity. The researcher’s main concern is to explain how decision-makers within uncertain and complex contexts make a decision. The methodology selected was Grounded Theory Methodology (GTM) which aims to develop a theory grounded in empirical data obtained in the research context.