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.

[1]  Dietmar Dietrich,et al.  A New Model for Autonomous, Networked Control Systems , 2007, IEEE Transactions on Industrial Informatics.

[2]  W. Burgstaller,et al.  Technical Model for Basic and Complex Emotions , 2007, 2007 5th IEEE International Conference on Industrial Informatics.

[3]  C. Roesener,et al.  Action planning model for autonomous mobile robots , 2007, 2007 5th IEEE International Conference on Industrial Informatics.

[4]  J. Panksepp.  Affective Neuroscience: The Foundations of Human and Animal Emotions , 1998 .

[5]  François Michaud,et al.  Robotic Software Integration Using MARIE , 2006 .

[6]  Peter Palensky,et al.  Project ARS - the next step towards an intelligent environment , 2005 .

[7]  Andrzej Buller,et al.  Volitron: On a Psychodynamic Robot and Its Four Realities , 2002 .

[8]  Holly A. Yanco,et al.  Pyro: A python-based versatile programming environment for teaching robotics , 2004, JERC.

[9]  C. Roesener,et al.  Emotional Behavior Arbitration for Automation and Robotic Systems , 2006, 2006 4th IEEE International Conference on Industrial Informatics.

[10]  Ronald C. Arkin,et al.  Multiagent Mission Specification and Execution , 1997, Auton. Robots.

[11]  Roland Lang,et al.  Applying psychoanalytic and neuro-scientific models to automation , 2006 .

[12]  Andrzej Buller,et al.  Building Brains for Robots: A Psychodynamic Approach , 2005, PReMI.

[13]  Gerhard Zucker,et al.  Processing and Symbolization of Ambient Sensor Data: A Neuropsychoanalytic Approach , 2009 .

[14]  Russ Gerhard,et al.  Situation-Dependent Behavior in Building Automation , 2008 .

[15]  Katsunori Shimohara,et al.  ATR artificial brain project: 2004 progress report , 2005, Artificial Life and Robotics.

[16]  Sherry Turkle,et al.  Artificial intelligence and psychoanalysis: a new alliance , 1989 .