Synthesis of autonomous robots through evolution

[1]  Kenneth L. Artis.  Design for a Brain , 1961 .

[2]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[3]  John Maynard Smith,et al.  When learning guides evolution , 1987, Nature.

[4]  Geoffrey E. Hinton,et al.  How Learning Can Guide Evolution , 1996, Complex Syst..

[5]  R. Bajcsy.  Active perception , 1988, Proc. IEEE.

[6]  Peter M. Todd,et al.  Exploring adaptive agency II: simulating the evolution of associative learning , 1991 .

[7]  Rodney A. Brooks,et al.  Intelligence Without Reason , 1991, IJCAI.

[8]  Inman Harvey,et al.  Explorations in Evolutionary Robotics , 1993, Adapt. Behav..

[9]  Stefano Nolfi,et al.  Self-selection of Input Stimuli for Improving Performance , 1993 .

[10]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[11]  Francesco Mondada,et al.  Mobile Robot Miniaturisation: A Tool for Investigation in Control Algorithms , 1993, ISER.

[12]  J. Elman.  Learning and development in neural networks: the importance of starting small , 1993, Cognition.

[13]  Reinhard Wolf,et al.  Visual pattern recognition in Drosophila involves retinotopic matching , 1993, Nature.

[14]  Inman Harvey,et al.  Seeing the Light: Artiicial Evolution, Real Vision Seeing the Light: Artiicial Evolution, Real Vision , 1994 .

[15]  Jeffrey L. Elman,et al.  Learning and Evolution in Neural Networks , 1994, Adapt. Behav..

[16]  Rolf Pfeifer,et al.  Classification as Sensory-Motor Coordination: A Case Study on Autonomous Agents , 1995, ECAL.

[17]  Linda B. Smith,et al.  A Dynamic Systems Approach to the Development of Cognition and Action , 2007, Journal of Cognitive Neuroscience.

[18]  Hans-Paul Schwefel,et al.  Evolution and optimum seeking , 1995, Sixth-generation computer technology series.

[19]  Stefano Nolfi,et al.  Learning to Adapt to Changing Environments in Evolving Neural Networks , 1996, Adapt. Behav..

[20]  A. Clark.  Being There: Putting Brain, Body, and World Together Again , 1996 .

[21]  Stanley J. Rosenschein,et al.  A dynamical systems perspective on agent-environment interaction , 1996 .

[22]  Eric Bonabeau.  Comment on "Phase Transitions in Instigated Collective Decision Making" , 1996, Adapt. Behav..

[23]  Horst Hendriks-Jansen,et al.  Catching ourselves in the act , 1996 .

[24]  Barbara Webb,et al.  A Cricket Robot , 1996 .

[25]  C. Moorehead.  All rights reserved , 1997 .

[26]  John Hallam,et al.  Evolving robot morphology , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[27]  A. Clark,et al.  Trading spaces: Computation, representation, and the limits of uninformed learning , 1997, Behavioral and Brain Sciences.

[28]  Randall D. Beer,et al.  The brain has a body: adaptive behavior emerges from interactions of nervous system, body and environment , 1997, Trends in Neurosciences.

[29]  Jordan B. Pollack,et al.  Evolutionary Body Building: Adaptive Physical Designs for Robots , 1998, Artificial Life.

[30]  Yasuo Kuniyoshi,et al.  Embedded neural networks: exploiting constraints , 1998, Neural Networks.

[31]  Phil Husbands,et al.  Better Living Through Chemistry: Evolving GasNets for Robot Control , 1998, Connect. Sci..

[32]  Stefano Nolfi,et al.  Co-evolving predator and prey robots , 1998, Artificial Life.

[33]  Stefano Nolfi,et al.  Adaptation as a more powerful tool than decomposition and integration: experimental evidences from evolutionary robotics , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[34]  Stefano Nolfi.  How Learning and Evolution Interact: The Case of a Learning Task which Differs from the Evolutionary Task , 1999, Adapt. Behav..

[35]  Stefano Nolfi,et al.  Learning and Evolution , 1999, Auton. Robots.

[36]  P. Eggenberger,et al.  Evolving the morphology of a compound eye on a robot , 1999, 1999 Third European Workshop on Advanced Mobile Robots (Eurobot'99). Proceedings (Cat. No.99EX355).

[37]  Rolf Pfeifer,et al.  Understanding intelligence , 2020, Inequality by Design.

[38]  Randall D. Beer,et al.  Further Experiments in the Evolution of Minimally Cognitive Behavior: From Perceiving Affordances to Selective Attention , 2000 .

[39]  D. Floreano,et al.  Adaptive Behavior in Competing Co-Evolving Species , 2000 .

[40]  Dario Floreano,et al.  Evolution of Adaptive Synapses: Robots with Fast Adaptive Behavior in New Environments , 2001, Evolutionary Computation.

[41]  Jeffrey L. Krichmar,et al.  Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines , 2001, Complex..

[42]  Stefano Nolfi,et al.  Power and the limits of reactive agents , 2002, Neurocomputing.

[43]  A. V. Popov,et al.  Physics of directional hearing in the cricket Gryllus bimaculatus , 1994, Journal of Comparative Physiology A.

[44]  Marina Basu.  The Embodied Mind: Cognitive Science and Human Experience , 2004 .

[45]  W. Oechel,et al.  Automatic design and manufacture of robotic lifeforms , 2022 .