The diverse behavior representation schemes and learning paradigms being investigated within the robotics community share the common feature that successful deployment of agents requires that behaviors developed in a learning environment are successfully applied to a range of unfamiliar and potentially more complex operational environments. The intent of our research is to develop insight into the factors facilitating successful transfer of behaviors to the operational environments. We present experimental results investigating the effects of several factors for a simulated swarm of autonomous vehicles. Our primary focus is on the impact of Synthetic Social Structures, which are guidelines directing the interactions between agents, much like social behaviors direct interactions between group members in the human and animal world. The social structure implemented is a dominance hierarchy, which has been shown previously to facilitate negotiation between agents. The goal of this investigation is to investigate mechanisms adding robustness to agent behavior.

Ferber, J., 1999, Multi-Agent Systems, An Introduction to distributed Artificial Intelligence, Addison-Wesley, New York
Ossowski, S., 1999, “Co-ordination in artificial intelligent societies: social structure and Its implications for autonomous problem-solving agents,” in Lecture Notes on Artificial Intelligence, Springer, Berlin.
Arkin, R. C., 1998, Behavior-Based Robotics, MIT Press, Cambridge, Massachusetts
Xu, X., Wang, X., He, H., 2003, “A Self-Learning Reactive Navigation Method for Mobile robots,” Proceedings of the Second International Conference on Machine Learning and Cybenetics.
Tomlinson, B., B. Blumberg and B. Rhodes. 2000. “How Is an Agent Like a Wolf?: Dominance and Submission in Multi-Agent Systems.” International ICSC Symposium on Multi-Agents and Mobile Agents in Virtual Organizations and ECommerce (MAMA ’2000), Wollongong, Australia
Goldberg, D, Cicirello, V., Dias, M., Simmons, R., Smith, S., Stentz, A. 2003, “Market-based multi-robot planning in a distributed layered architecture,” in Proceedings from the 2003 International Workshop on Multi-Robot Systems, Washington, D. C.
Luke, S., Cioffi-Revilla, C., Panait, L., Sullivan, K., 2004, “MASON: A New Multi-Agent Simulation Toolkit. 2004,” Proceedings of the 2004 SwarmFest Workshop.
This content is only available via PDF.
You do not currently have access to this content.