Title : Scalable Discovery of Private Resources
| Presenter | Ronald Siebes |
| Abstract | Resource discovery is fundamental to a multitude of distributed systems, including grids, web-based applications and multi-agent systems. To achieve scalability at a low cost, many researchers have turned to a peer-to-peer paradigm, leading to the development of a multitude of protocols and algorithms being developed, with implementations still lagging behind. In this presentation we consider the privacy implications of peer-to-peer discovery systems and propose a framework for discovery of private resources. Furthermore, we propose and evaluate an architecture and a series of methods using distributed hash tables. Finally, we provide an implementation in the context of the OpenKnowledge project. |
Title : A Robot’s Experience of Another Robot: Simulation
| Presenter | Matthijs Pontier |
| Abstract | To develop a robot that is able to recognize and show affective behavior, it should be able to regulate simultaneously occurring tendencies of positive and negative emotions. To achieve this, the current paper introduces a computational model for involvement-distance trade-offs, based on an existing theoretical model. The main mechanisms of this model have been represented as regression equations, using the LEADSTO modeling environment. A number of simulation experiments have been performed, which resulted in two important conclusions. First, the trade-off between involvement and distance can be modeled adequately using the ‘max’ version of Werners’ fuzzy_AND operator. Second, the experiments confirmed the empirical finding that positive features do not exclusively increase involvement. |