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Abstract-The project ARS (Artificial Recognition System) develops a novel approach to decision making in the domain of building automation systems. Concepts from neurology, psychology, and psychoanalysis are used for this approach. We give a short overview about this decision making concept, the simulation environment, and results from simulation experiments. These simulation runs consist of several autonomous agents grouped to two teams which are competing for restricted resources. ARS deals with agents as an intermediate step towards buildings. For some resources cooperation among team mates is necessary. One team is using the ARS approach including concepts like emotions, drives, and desires. Further, it uses a value system inspired by social levels to stimulate cooperation among the team mates. The other team-as a reference-is realized by using a simple rule based decision making approach. The simulation results show an improvement in team-survival due to the introduction of social levels.

The intention of a Smart City concept is among other things to increase the energy efficiency of a city. Typically addressed topics are energy management or urban traffic management. Up to now Information and Communication Technology (ICT) measures within a Smart City to increase energy efficiency in public lighting have not been considered in detail. The paper presents an approach of an intelligent streetlight management system being an integral part of a Smart City platform. Field bus technology is used at the field level. Control and monitoring strategies are implemented as web services in the central software. Interoperable interfaces to other parts of the platform are specified. Real-life use cases at test sites in Austria demonstrate the benefits of the system: increased energy efficiency without compromising public safety.

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