Dealing with uncertain, contradicting, and ambiguous information is still a central issue in
Artificial Intelligence (AI). As a result, many formalisms have been proposed or adapted so …

Traditionally, the problem of stereo matching has been addressed either by a local window-
based approach or a dense pixel-based approach using global optimization. In this paper …

A key-issue for the effectiveness of collaborative decision support systems is the problem of
the trustworthiness of the entities involved in the process. Trust has been always used by …

In this paper, we investigate how dynamic properties of reputation can influence the quality
of users' ranking. Reputation systems should be based on rules that can guarantee high …

The Web has been growing in size and with the proliferation of large-scale collaborative
computing environments, Social Search has become increasingly important. This recent …

This study describes and evaluates a novel trust model for a range of collaborative
applications. The model assumes that humans routinely choose to trust their peers by …

Abstract The World Wide Web is growing in size and with the proliferation of large-scale
collaborative computing environments Social search has become increasingly important …

Inspection methods and cheap self-reporting procedures have been significantly employed
in the field of Human-Computer Interaction for assessing the usability of interfaces, systems …

Reputation systems concern soft security dynamics in diverse areas. Trust dynamics in a
reputation system should be stable and adaptable at the same time to serve the purpose …

Digital systems have been rapidly evolving within highly dynamic and unstructured
environments, where the lack of a central authority forces entities to interact with each other …