Context-sensitive Modeling of Input Source Configuration for Evolving Intelligent Systems

Today's dynamics in system interaction and user behavior is crucial for the quality of operation and the performance of evolving intelligent systems. Changes in network topology and information availability need to be made accessible instantaneously not only for evolving intelligent systems but also for people using and configuring these systems in ubiquitous computing environments. To insure interoperability among these systems, we present a representation and runtime approach for modeling input source configuration aligned to both user and automatic system invocation. It is based on input sources that are arranged dynamically in their context using bigraphs. This particular representation approach enforces rigorous interoperable semantics using a high-level set of dynamic relationships. We demonstrate the effectiveness of bigraph-based modeling for dynamic smart home control.