PerspectiveS allows for dynamic behavior layering in the Squeak environment. Inspired by PIE and based on AspectS, PerspectiveS coordinates contextawareness of a set of aspects, and so allows to decorate a system with context-dependent behavior, without requiring developers of the base system to be aware of potential decorations. The paper illustrates PerspectiveS and its application to dynamic...

Location-aware systems are receiving more and more interest in both academia and industry due to their promising prospective in a broad category of so-called Location-Based-Services (LBS). The map interface plays a crucial role in the location-aware systems, especially for indoor scenarios. This paper addresses the usage of map information in a Wireless LAN (WLAN)-based indoor navigation system...

In this paper, we present TOTA (“Tuples On The Air”), a novel middleware to coordinate the movements of a large number of autonomous components (i.e. agents) in a ubiquitous computing scenario. The key idea in TOTA is to rely on spatially distributed tuples for both representing contextual information and supporting uncoupled and adaptive interactions between application components. The TOTA mi...

Different geometric patterns and shapes are generated using groups of agents, and this needs formation control. In this paper, Centroid Based Transformation (CBT), has been applied to decompose the combined dynamics of nonholonomic Wheeled Mobile Robots (WMRs) into three subsystems: intra and inter group shape dynamics, and the dynamics of the centroid. The intra group shape dynamics can furthe...

Modeling of location information is an interesting and important topic, which influences essentially the quality of developed location-aware computer systems. In this paper the author takes a look at the means of representing spatial information. Different model types and some of their extensions are presented and compared. Then following onto the discussion on some special features of location...

This article explores the representations and reasoning by which dialogue systems can work collaboratively and creatively to communicate successfully with interlocutors in situations of transient uncertainty. In these situations, dialogue is shaped by the hierarchy of activities underway in the interaction, by the dynamics of linguistic context, and by the array of possibilities that interlocut...

As computing technology becomes more pervasive and mobile services are deployed, applications will need flexible access control mechanisms. Unlike traditional approaches for access control, access decisions for these applications will depend on the combination of the required credentials of users and the context and state of the system. In this paper, we extend the role-based access control mod...

This paper proposes social computation, i.e. large-scale manmachine collaboration mediated by digital interaction media, as a vision for future intelligent systems, and as a new challenge for multiagent systems research. We claim that the study of social computation suggests a re-interpretation of many traditional AI endeavours, has huge potential application benefits, and presents the field of...

Over the past five years, the MyCampus group at Carnegie Mellon University has been developing and experimenting with Ambient Intelligence technologies aimed at enhancing everyday life. The project has drawn on multiple areas of expertise, combining the development of an open Semantic Web infrastructure for context-aware service provisioning with an emphasis on issues of privacy and usability. ...

Rule-based systems are a commonly accepted solution for smoothly capturing the context-dependent and time-dependent organizational knowledge of large enterprises, also known as business policies. At the same time, however, the design of rule-based applications is one of the most pressing open research problems. This is largely because of the expressive power and flexibility of existing rule-bas...