This paper provides and discusses a trust model that is grounded in real-world social trust characteristics, and based on a reputation mechanism, or word-of-mouth, and allows agents to progressively tune their understanding of another agent's subjective recommendations.
This paper outlines the shortcomings of current security approaches for managing trust and proposes a model for trust, based on distributed recommendations, that can be used for secure on-line interaction.
This work presents the context-aware routing (CAR) algorithm, a novel approach to the provision of asynchronous communication in partially-connected mobile ad hoc networks, based on the intelligent placement of messages.
An algorithm based on adaptive switching between collecting the agents when they are too dispersed and driving them once they are aggregated is demonstrated, which reproduces key features of empirical data collected from sheep–dog interactions and suggests new ways in which robots can be designed to influence movements of living and artificial agents.
It is shown that temporal diversity is an important facet of recommender systems, by showing how CF data changes over time and performing a user survey, and proposed and evaluated set methods that maximise temporal recommendation diversity without extensively penalising accuracy.
A varation of kNN, the trusted k-nearest recommenders algorithm, which allows users to learn who and how much to trust one another by evaluating the utility of the rating information they receive and outperforms the basic similarity-based methods in terms of prediction accuracy.
In this paper, it is explained why traditional network security mechanisms are incomplete in their function to manage trust, and a general model based on recommendations is provided to minimise this risk.
This paper takes the position that evolving the naming in the Internet by splitting the address into separate Identifier and Locator names can provide an elegant integrated solution to the key issues listed above, without changing the core routing architecture, while offering incremental deployability through backwards compatibility with IPv6.
This work proposes a new mobility model that is founded on social network theory, which allows collections of hosts to be grouped together in a way that is based on social relationships among the individuals.