The Playful Machine - Theoretical Foundation and Practical Realization of Self-Organizing Robots
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[1] Poramate Manoonpong,et al. Neural preprocessing and control of reactive walking machines - towards versatile artificial perception-action systems , 2006, Cognitive Technologies.
[2] G. Turrigiano. Homeostatic plasticity in neuronal networks: the more things change, the more they stay the same , 1999, Trends in Neurosciences.
[3] Sven Koenig,et al. Building Terrain-Covering Ant Robots: A Feasibility Study , 2004, Auton. Robots.
[4] L. Yaeger. Computational Genetics, Physiology, Metabolism, Neural Systems, Learning, Vision, and Behavior or PolyWorld: Life in a New Context , 1997 .
[5] Ralf Der,et al. Let it roll - Emerging Sensorimotor Coordination in a Spherical Robot , 2006 .
[6] Marco Dorigo,et al. Self-organisation and communication in groups of simulated and physical robots , 2006, Biological Cybernetics.
[7] Jürgen Schmidhuber,et al. Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes , 2008, ABiALS.
[8] D M Wolpert,et al. Multiple paired forward and inverse models for motor control , 1998, Neural Networks.
[9] Jeffrey L. Krichmar,et al. Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines , 2001, Complex..
[10] Richard Sproat,et al. Morphology and computation , 1992 .
[11] F. Pasemann. DYNAMICS OF A SINGLE MODEL NEURON , 1993 .
[12] Mikhail Prokopenko,et al. Design vs. Self-organization , 2008, Advances in Applied Self-organizing Systems.
[13] J. Michael Herrmann,et al. Taming the Beast: Guided Self-organization of Behavior in Autonomous Robots , 2010, SAB.
[14] Yuan F. Zheng,et al. Distal learning applied to biped robots , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.
[15] S. Nelson,et al. Hebb and homeostasis in neuronal plasticity , 2000, Current Opinion in Neurobiology.
[16] E de Margerie,et al. Artificial evolution of the morphology and kinematics in a flapping-wing mini-UAV , 2007, Bioinspiration & biomimetics.
[17] Jürgen Schmidhuber,et al. A possibility for implementing curiosity and boredom in model-building neural controllers , 1991 .
[18] Rolf Pfeifer,et al. How the body shapes the way we think - a new view on intelligence , 2006 .
[19] Marco Dorigo,et al. Path formation in a robot swarm , 2008, Swarm Intelligence.
[20] R. Pfeifer,et al. Self-Organization, Embodiment, and Biologically Inspired Robotics , 2007, Science.
[21] Richard S. Sutton,et al. Reinforcement Learning: Past, Present and Future , 1998, SEAL.
[22] S. Nelson,et al. Homeostatic plasticity in the developing nervous system , 2004, Nature Reviews Neuroscience.
[23] Georg Martius,et al. Goal-Oriented Control of Self-Organizing Behavior in Autonomous Robots , 2010 .
[24] H. Maturana,et al. Autopoiesis and Cognition : The Realization of the Living (Boston Studies in the Philosophy of Scie , 1980 .
[25] Keyan Zahedi,et al. AN EVOLVED NEURAL NETWORK FOR FAST QUADRUPEDAL LOCOMOTION , 2007 .
[26] Irving R Epstein,et al. Oscillatory Turing patterns in reaction-diffusion systems with two coupled layers. , 2003, Physical review letters.
[27] Stefan Schaal,et al. A Generalized Path Integral Control Approach to Reinforcement Learning , 2010, J. Mach. Learn. Res..
[28] Kenneth O. Stanley,et al. A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks , 2009, Artificial Life.
[29] S. Hochreiter,et al. REINFORCEMENT DRIVEN INFORMATION ACQUISITION IN NONDETERMINISTIC ENVIRONMENTS , 1995 .
[30] Stefan Schaal,et al. Natural Actor-Critic , 2003, Neurocomputing.
[31] F. Pasemann. A simple chaotic neuron , 1997 .
[32] G. Tononi,et al. Sleep function and synaptic homeostasis. , 2006, Sleep medicine reviews.
[33] Pierre-Yves Oudeyer,et al. Intrinsic Motivation Systems for Autonomous Mental Development , 2007, IEEE Transactions on Evolutionary Computation.
[34] Ralf Der,et al. Homeokinesis - A new principle to back up evolution with learning , 1999 .
[35] Andy Ruina,et al. A Bipedal Walking Robot with Efficient and Human-Like Gait , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[36] James A. Reggia,et al. Guided self-organizing particle systems for basic problem solving , 2007 .
[37] Gregor Schöner,et al. Dynamics of behavior: Theory and applications for autonomous robot architectures , 1995, Robotics Auton. Syst..
[38] Ralf Der,et al. Learning to feel the physics of a body , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).
[39] Ralf Der,et al. Self-organized acquisition of situated behaviors , 2001, Theory in Biosciences.
[40] Ralf Der,et al. Rocking Stamper and Jumping Snakes from a Dynamical Systems Approach to Artificial Life , 2006, Adapt. Behav..
[41] F. Pasemann. Discrete dynamics of two neuron networks , 1993 .
[42] R. Pfeifer,et al. Morphological computation for adaptive behavior and cognition , 2006 .
[43] J. Ventre-Dominey,et al. Vestibular integration in human cerebral cortex contributes to spatial remapping , 2007, Neuropsychologia.
[44] James L. McClelland,et al. Autonomous Mental Development by Robots and Animals , 2001, Science.
[45] B. Kendall. Nonlinear Dynamics and Chaos , 2001 .
[46] Tad McGeer,et al. Passive Dynamic Walking , 1990, Int. J. Robotics Res..
[47] Luc Steels,et al. The Autotelic Principle , 2003, Embodied Artificial Intelligence.
[48] Gregor Schöner,et al. Self-calibration based on invariant view recognition: Dynamic approach to navigation , 1997, Robotics Auton. Syst..
[49] Steffen Wischmann,et al. Neural dynamics of social behavior: an evolutionary and mechanistic perspective on communication, cooperation, and competition among situated agents , 2008 .
[50] P. Werbos,et al. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .
[51] J. Michael Herrmann,et al. Tipping the scales: guidance and intrinsically motivated behavior , 2011, ECAL.
[52] Ralf Der,et al. From Motor Babbling to Purposive Actions: Emerging Self-exploration in a Dynamical Systems Approach to Early Robot Development , 2006, SAB.
[53] Jeffrey L. Elman,et al. Learning and Evolution in Neural Networks , 1994, Adapt. Behav..
[54] Tom Ziemke,et al. On the role of emotion in biological and robotic autonomy , 2008, Biosyst..
[55] D. Wolpert,et al. Internal models in the cerebellum , 1998, Trends in Cognitive Sciences.
[56] Rolf Pfeifer,et al. Morphological Computation - Connecting Brain, Body, and Environment , 2006, Australian Conference on Artificial Intelligence.
[57] Frank Pasemann,et al. SO(2)-Networks as Neural Oscillators , 2003, IWANN.
[58] A. M. Turing,et al. The chemical basis of morphogenesis , 1952, Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences.
[59] Rolf Pfeifer,et al. Understanding intelligence , 2020, Inequality by Design.
[60] M. Prokopenko. Guided self‐organization , 2009, HFSP journal.
[61] Giulio Sandini,et al. Developmental robotics: a survey , 2003, Connect. Sci..
[62] Olaf Sporns,et al. Evolving Coordinated Behavior by Maximizing Information Structure , 2006 .
[63] Yasuo Kuniyoshi,et al. Exploration of Natural Dynamics through Resonance and Chaos , 2006, IAS.
[64] E. A. Dipaolo,et al. Homeostatic adaptation to inversion of the visual field and other sensorimotor disruptions , 2000 .
[65] Ralf Der,et al. Guided Self-organisation for Autonomous Robot Development , 2007, ECAL.
[66] A. Maslow. Motivation and Personality , 1954 .
[67] Laure Pisella,et al. The contribution of spatial remapping impairments to unilateral visual neglect , 2004, Neuroscience & Biobehavioral Reviews.
[68] R. Der,et al. True autonomy from self-organized adaptivity , 2002 .
[69] Doina Precup,et al. An information-theoretic approach to curiosity-driven reinforcement learning , 2012, Theory in Biosciences.
[70] Stefano Nolfi,et al. Synchronization and Gait Adaptation in Evolving Hexapod Robots , 2006, SAB.
[71] Marc Timme,et al. Self-organized adaptation of a simple neural circuit enables complex robot behaviour , 2011, ArXiv.
[72] Frank Pasemann,et al. Reflex-oscillations in evolved single leg neurocontrollers for walking machines , 2007, Natural Computing.
[73] Kenneth L. Artis. Design for a Brain , 1961 .
[74] F. Pasemann. Complex dynamics and the structure of small neural networks , 2002, Network.
[75] Christoph Salge,et al. Information-Driven Organization of Visual Receptive Fields , 2009, Adv. Complex Syst..
[76] E. D. Paolo,et al. Organismically-inspired robotics: homeostatic adaptation and teleology beyond the closed sensorimotor loop , 2003 .
[77] Ralf Der,et al. Higher Coordination With Less Control—A Result of Information Maximization in the Sensorimotor Loop , 2009, Adapt. Behav..
[78] Chris J. Hinde,et al. An improved representation for evolving programs , 2009, Genetic Programming and Evolvable Machines.
[79] M. Newman. Power laws, Pareto distributions and Zipf's law , 2005 .
[80] Olaf Sporns,et al. Methods for quantifying the informational structure of sensory and motor data , 2007, Neuroinformatics.