Developing Ambient Intelligence (eBook) von Carsten Rudolph

Research Track Proceedings.- Abstracting connection volatility through tagged futures.- Towards Semantic Resolution of Security in Ambient Environments.- Modeling Decentralized Information Flow in Ambient Environments.- Secure Profiles as a Cornerstone in Emerging Ambient Intelligence Scenarios.- Designing for People in Ambient Intelligence Environments.- Architecture and Design Patterns for Ambient Intelligence: an Industry Perspective.- An Ambient Intelligence Based Multi-Agent Architecture.- Management of Large Video Recordings.- XMPP based Health Care Integrated Ambient Systems Middleware.- Increasing Interactivity in Agent-based Advanced Pocket-Device Service Application.- Towards a Model Driven Development of Context-aware Systems for AmI Environments.- Taking Ownership of Computational Resources.- Bluetooth Indoor Positioning and Ambient Information System.- XACML as a Security and Dependability Pattern for Access Control in AmI environments.- Rationale for defining NCIPs (Neighborhood and Context Interaction Primitives) position paper.- Agent Oriented AmI Engineering.- EuroTRUSTAmI workshop : European R&D towards trusted Ambient Intelligence.- EuroTRUSTAmI workshop : European R&D towards trusted Ambient Intelligence.- Cyber-Security EU/US. Meet the pathfinders of our future.

At the time of the introduction of the Ambient Intelligence (AmI) concept many scenarios where considered to be visionary or even science fiction. Enabled by current technology, many aspects of these scenarios are slowly but inexorably becoming true. However, we are still facing important challenges that need further investments in research and industrialization. Current software engineering techniques and tools are not prepared to deal with the development of applications for what we could call AmI ecosystems, lacking a fixed architecture, controlled limits and even owners. The comfortable boundaries of static architectures and well-defined limits and owners are not existent in these AmI ecosystems.
In its second year AmI.d again shows the heterogeneity of research challenges related to Ambient Intelligence. Many disciplines are involved and have to co-ordinate their efforts in resolving the strongly related research issues.