Simulation Results for the ARS-PA Model

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.