Guessing Under Source Uncertainty

Optimization under Uncertainty Optimization Under Uncertainty: An Overview

Optimization under Uncertainty Optimization under Uncertainty: An Overview Urmila Diwekar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Two-Stage Stochastic Linear Programming: A Tutorial Vicente Rico-Ramirez . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Combinatorial Optimization under Uncertainty Ki-Joo Kim . . . . . . . . . . . . . . . . . . . . . . . . . . ...

Researching Under Uncertainty 1 Design Rationale : Researching Under Uncertainty

Rationale research in software development is a challenging area because while there is no shortage of advocates for its value, there is also no shortage of reasons for why rationale is unlikely to be captured in practice. Despite more than thirty years of research there still remains much uncertainty—how useful are the potential benefits and how insurmountable are the barriers? Will the value ...

Strategic Technology Adoption under Technological Uncertainty

Robustness-based portfolio optimization under epistemic uncertainty

In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two approaches: (1) moment bounding approach and (2) likelihood-based approach. This paper first proposes a ...

Plurality Voting Under Uncertainty

Understanding the nature of strategic voting is the holy grail of social choice theory, where game-theory, social science and recently computational approaches are all applied in order to model the incentives and behavior of voters. In a recent paper, Meir et al. (2014) made another step in this direction, by suggesting a behavioral game-theoretic model for voters under uncertainty. For a speci...