Towards collaborative and adversarial learning:: a case study in robotic soccer
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
An Behavior-based Robotics
Artificial Life: An Overview
Emergence of Cooperation: State of the Art
Artificial Life
Swarm Robotics: SAB 2004 International Workshop, Santa Monica, CA, USA, July 17, 2004, Revised Selected Papers (Lecture Notes in Computer Science)
Directed stigmergy-based control for multi-robot systems
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Information Sciences: an International Journal
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This paper deals with the problem of jointly designing the behaviors of a group of robots so as to produce a particular desired collaborative behavior in stigmergy-based settings. In this line, the approach followed has its roots on traditional evolutionary behavior based robotics techniques, but instead of trying to evolve the whole controller for a particular complex behavior in one step, an incremental approach is used by combining the results from different evolutionary/learning processes in different settings for the construction of a complete controller architecture. The key aspects when trying to generalize the process of obtaining the controllers from single robots to multi robot systems are discussed in the framework of a set of simple collaborative tasks, focusing the discussion on the utility functions that guide the evolution.