Abstract. We propose a derivative-free algorithm for optimizing computationally expensive functions with computational error. The algorithm is based on the trust region regression method by Conn, Scheinberg, and Vicente [4], but uses weighted regression to obtain more accurate model functions at each trust region iteration. A heuristic weighting scheme is proposed which simultaneously handles i...

Complex mathematical models requiring major computing power to tease out their implications are currently the main theoretical tool used to understand and predict the response of the climate system to external forcing, such as that resulting from the current human perturbation to greenhouse gas concentrations in the atmosphere. These models developed quickly over the last half of the 20 century...

The spread of rumors, which are known as unverified statements of uncertain origin, may threaten the society and it's controlling, is important for national security councils of countries. If it would be possible to identify factors affecting spreading a rumor (such as agents’ desires, trust network, etc.) then, this could be used to slow down or stop its spreading. Therefore, a computational m...

Most of today’s enterprises are open in a competitive market worldwide and dependent on distributed information infrastructure across various geospatial location and various cyber spatial location as well with a purpose of offering ready and effective services to customers. But this decentralization comes at the cost of security. The distributed computing framework is vulnerable to attacks from...

Since electronic and open environments became a reality, computational models of trust and reputation have attracted increasing interest in the field of multi-agent systems (MAS), the . In virtual societies of human actors very well-known mechanisms are already used to control non normative agents, for instance, the eBay scoring system. In virtual societies of artificial and autonomous agents, ...

trust is one of the most important factors for the development of electronic banking. the purpose of this study is to determine effective factors on trust in e-banking in the form of a conceptual model. due to the rapid growth of electronic banking in the country, identify factors affecting trust in e-banking is very important. population of this study is customers of bank melli in urmia. we us...

In the offline world, we look to the people we trust and those they trust for reliable information. In this paper, we present a computational model of this phenomenon and show how it can be used to identify high quality content in an Open Rating System, i.e., a system in which any user can rate content. We present a case study (Epinions.com) of a system based on this model and describe a new pl...

This survey is the first to review the combination of computational trust and argumentation. The combination of the two approaches seems like a natural match, with the two areas tackling different aspects of reasoning in an uncertain, social environment. We discuss the different areas of research and describe the approaches taken so far, analysing both how they address the problems and the chal...

This study develops a hybrid ensemble-variational approach for solving data assimilation problems. The method, called TR-4D-EnKF, is based on a trust region framework and consists of three computational steps. First an ensemble of model runs is propagated forward in time and snapshots of the state are stored. Next, a sequence of basis vectors is built and a lowdimensional representation of the ...