Quasi-Bayesian theory uses convex sets of probability distributions and expected loss to represent preferences about plans. The theory focuses on decision robustness, i.e., the extent to which plans are aaected by deviations in subjective assessments of probability. Generating a plan means enumerating the actions to be taken and providing information about the robustness of the actions. The pre...

Quasi-Bayesian theory uses convex sets of probability distributions and expected loss to represent preferences about plans. The the­ ory focuses on decision robustness, i .e., the extent to which plans are affected by devi­ ations in subjective assessments of probabil­ ity. Generating a plan means enumerating the actions to be taken and providing infor­ mation about the robustness of the action...

We present an approach to plan representation in multi-actor scenarios that is suitable for flexible replanning and plan revision purposes in dynamic non-deterministic multi-actor environments. The key idea of the presented approach is in representation of the distributed hierarchical plan by social commitments, as a theoretically studied formalism representing mutual relations among intentions...

Quasi-Bayesian theory uses convex sets of probability distributions and expected loss to represent preferences about plans. The theory focuses on decision robustness, i.e., the extent to which plans are a ected by deviations in subjective assessments of probability. Generating a plan means enumerating the actions to be taken and providing information about the robustness of the actions. The pre...

This report aims to propose and present an evaluation of a robust pencil beam scanning proton multi-field optimized treatment planning technique for postmastectomy radiation of breast cancer patients with implanted tissue expanders containing an internal metal port. Field-specific split targets were created for optimization to prevent spots from traveling through the metal port, while providing...

We explore the inand outof sample robustness of tests for consumer choice inconsistencies based on parameter restrictions in parametric models, with a focus on tests proposed by Ketcham, Kuminoff and Powers (KKP). We start by arguing that their non-parametric alternatives are inherently conservative with respect to detecting mistakes. We then show that our parametric model is robust to KKP’s su...

Query optimizers and query execution engines cooperate to deliver high performance on complex analytic queries. Typically, the optimizer searches through the plan space and sends a selected plan to the execution engine. However, optimizers may at times miss the optimal plan, with sometimes disastrous impact on performance. In this paper, we develop the notion of robustness of a query evaluation...

Nowadays, managing correctly the always changing customer demands is a challenge for companies, especially because of its impact on the Supply Chain (Forrester effect). Tactical planning is very useful in establishing robust plans. This paper proposes an alternative policy to traditional practices (frozen horizon ...), the so-called “reference plan”, to obtain more stable and robust production ...