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Measuring Self-Organization via Observers.. ECAL, volume 2801 of Lecture Notes in Computer Science, page 667-675. Springer, (2003)Eugenic Neuro-Evolution for Reinforcement Learning, and . Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), page 1041--1046. San Francisco, CA, Morgan Kaufmann, (2000)How Information and Embodiment Shape Intelligent Information Processing., , and . 50 Years of Artificial Intelligence, volume 4850 of Lecture Notes in Computer Science, page 99-111. Springer, (2006)A Direct Approach to Robot Soccer Agents: Description for the Team MAINZ ROLLING BRAINS Simulation League of RoboCup'98., , and . RoboCup, volume 1604 of Lecture Notes in Computer Science, page 390-395. Springer, (1998)Impoverished Empowerment: 'Meaningful' Action Sequence Generation through Bandwidth Limitation., , and . ECAL (2), volume 5778 of Lecture Notes in Computer Science, page 294-301. Springer, (2009)CORBYS cognitive control architecture for robotic follower., , , , , , , , and . SII, page 394-399. IEEE, (2013)Towards socially adaptive robots: A novel method for real time recognition of human-robot interaction styles., , and . Humanoids, page 353-359. IEEE, (2008)Learning competitive pricing strategies by multi-agent reinforcement learning, , and . Journal of Economic Dynamics and Control, 27 (11-12): 2207--2218 (September 2003)Fast Reinforcement Learning Through Eugenic Neuro-Evolution, and . AI99-277. Department of Computer Sciences, The University of Texas at Austin, (1999)Fitness Functions for the Optimization of Self-Organizing Maps. Proceedings of the Seventh International Conference on Genetic Algorithms (ICGA-97, East Lansing, MI), page 776--783. San Francisco, CA: Morgan Kaufmann, (1997)