In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach addresses the multi-dimensionality of quality and trust, taking into account credibility of the collected data sources for more reliable estimates, while also enabling the personalization of the computation. We use grap...

Recently label propagation recommendation receives much attention from both industrial and academic fields due to its low requirement of labeled training data and effective prediction. Previous methods propagate preferences on a user or item similarity graph for making recommendation. However, they still suffer some major problems, including data sparsity, lack of trustworthiness, cold-start pr...

In this paper we propose a distribution and propagation algorithm for meta data. The main purpose of this is to tentatively allocate or derive meta data for nodes (in our case sites and/or web pages) for which no meta data exists. We propose an algorithm that depends on 1) meta data given to a node, site and/or web page, 2) how pervasive we percieve this meta data, and 3) the trust that we give...

A comparison between a number of search engines from three different families (HITS, PageRank, and Propagation of Trust) is presented for a small web server with respect to perceived relevance. A total of 307 individual tests have been done and the results from these were disseminated to the algorithms, and then handled using confidence intervals, Kolmogorov-Smirnov and ANOVA. We show that the ...

We present a Newton-CG method for full-waveform seismic inversion. Our method comprises the adjoint-based computation of the gradient and Hessianvector products of the reduced problem and a preconditioned conjugate gradient method to solve the Newton system in matrix-free fashion. A trust-region globalization strategy and a multi-frequency inversion approach are applied. The governing equations...

In spite of a substantive claim for the adoption of agentbased models for social simulation, a shared framework to model key reasoning capabilities of social agents has not been developed yet. To fill this gap, we propose a new model, whereby agents belonging to a social network reason and interact argumentatively, and use trust and coherence setting in order to decide whether and how to revise...

A briefing (Allen, 2004) demonstrates the breadth and depth complexity required to address real diplomatic, information, military, economic (DIME) factors for the propagation/evolution of ideas through defined populations. An open mind would conclude that it is possible that multiple approaches may be required for multiple decision makers in multiple scenarios. However, it is in the interests o...

Highly shared resources over multiple grid platforms make insecurity and privacy abuse major obstacles hindering general-purpose Grid applications. A scalable grid system demands the allocation and release of resources dynamically. A distributed Grid security (GridSec) architecture is introduced to meet these demands. The architecture is built with distributed firewalls, packet filters, securit...

A multiagent connectionist model is proposed that consists of a collection of individual recurrent networks that communicate with each other and, as such, is a network of networks. The individual recurrent networks simulate the process of information uptake, integration, and memorization within individual agents, and the communication of beliefs and opinions between agents is propagated along c...