Equilibrium molecular dynamics simulation and the Green-Kubo formalismwere used to calculate self-diffusion coefficient, shear viscosity, and thermalconductivity for 30 different quadrupolar two-center Lennard-Jones fluids alongthe bubble line and in the homogeneous liquid. It was systematically investi-gated how anisotropy, i.e. elongation, and quadrupole momentum influence the...

In this open ing prov o ca tion, Freud and Heidegger make as ser tions which stand, prima fa cie, in ex treme op po si tion to one an other—with Derrida sit u ated, not sur pris ingly, some where in-be tween. But be tween what? What is the philo soph i cal sig nif i cance of the cog ni tive re la tion one stands in with re spect to one’s own death? Be tween (1) Heidegger’s as ser tion that hold...

Bayesian Belief Networks (BBNs) are a pow­ erful formalism for reasoning under uncer­ tainty but bear some severe limitations: they require a large amount of information be­ fore any reasoning process can start, they have limited contradiction handling capabil­ ities, and their ability to provide explana­ tions for their conclusion is still controversial. There exists a class of reasoning syste...

In this paper we analyze two recent axiomatic approaches proposed by Dubois et al. [5] and by Giang and Shenoy [10] for qualita­ tive decision making where uncertainty is de­ scribed by possibility theory. Both axiom­ tizations are inspired by von Neumann and Morgenstern's system of axioms for the case of probability theory. We show that our ap­ proach naturally unifies two axiomatic sys­ tems ...

In this paper we address the uncertainty is­ sues involved in the low-level vision task of image segmentation. Researchers in com­ puter vision have worked extensively on this problem, in which the goal is to partition (or segment) an image into regions that are ho­ mogeneous or uniform in some sense. This segmentation is often utilized by some higher­ level process, such as an object recogniti...

The Dempster Shafer theory of evidence has been used intensively to deal with uncer tainty in knowledge based systems How ever the representation of uncertain rela tionships between evidence and hypothesis groups heuristic knowledge is still a major research problem This paper presents an ap proach to representing such heuristic knowl edge by evidential mappingswhich are de ned on the basis of ...

The aim of this research is to develop a strat­ egy of reasoning under uncertainty in the context of the Fuzzy Inductive Reasoning methodology. This methodology allows the prediction of systems behavior by means of two different schemes. The first one corre­ sponds to a pattern prediction scheme, based exclusively on pattern rules. The second one corresponds to a purely Sugeno infer­ ence syste...

This study considers the problem of feature selection in in complete data. The intuitive approach is to first impute the missing values, and then apply a standard feature selection method to select relevant features. In this study, we show how to perform feature selection directly, without imputing missing values. We define the objective function of the un certainty margin based feature selecti...

this paper assumes the cell formation problem as a distributed decision network. it proposes an approach based on application and extension of information theory concepts, in order to analyze informational complexity in an agent- based system, due to interdependence between agents. based on this approach, new quantitative concepts and definitions are proposed in order to measure the amount of t...

We discuss the choice of polynomial basis for approximation of uncertainty propagation through complex simulation models with capability to output derivative information. Our work is part of a larger research effort in uncertainty quantification using sampling methods augmented with derivative information. The approach has new challenges compared with standard polynomial regression. In particul...