Evolvable Machines: Theory and Practice by Jaime Gil-Aluja
By Jaime Gil-Aluja
Tools for the synthetic evolution of lively parts, akin to courses and undefined, are swiftly constructing branches of adaptive computation and adaptive engineering. Evolvable Machines reviews cutting edge and demanding growth in computerized and evolutionary technique utilized to computer layout. This ebook provides theoretical in addition to sensible chapters targeting Evolvable Robots, Evolvable Synthesis, in addition to Evolvable layout.
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Extra resources for Evolvable Machines: Theory and Practice
Holland, "Classifier Systems and Genetic Algorithms", In Machine Learning: Paradigms and Methods, MIT Press, 1990. 13. R . S. Sutton and A. G . Barto, "Reinforcement Learning", MIT Press, Boston, 1998. 14. C . J . C. H. Watkins and P. Dayan, "Q-learning7', Machine Learning, Vol. 279-292, 1992. 15. S. Kamio, H. Mitsuhashi and H . Iba, "Integration o f Genetic Programming and Reinforcement Learning for Real Robots7',In Proc. 470-477, 2003. jp Inspired by the efficient method of locomotion of the rattlesnake Crotalus cerastes, the objective of this work is automatic design through genetic programming, of the fastest possible (sidewinding) locomotion of simulated limbless, wheelless snake-like robot (Snakebot).
A) Move fomatd, backward, ~~ghtward and leftward I (b) Turn nght and left Fig. 6. Different actions (G-actions). 2 Learning in Simulator The learning model stated in the preceding subsection has been realized in a simulation environment. This simulator sets a target position at a place of constant distance from the front of the partner robot, which is present in a plane. A task will be completed if the learning robot reaches the position and faces the partner robot. The target position here ranges in distance movable in one motion.
6, 1995, pp. 781793 3. K. Dowling, Limbless locomotion: Learning to Crawl with a Snake Robot, doctoral dissertation, Tech. report CMU-RI-TR-97-48, Robotics Institute, Carnegie Mellon University, 1997 4. S. Hirose, Biologically Inspired Robots: Snake-like Locomotors and Manipulators, Oxford University Press, 1993 5. S. Takamura, G. S. Hornby, T. Yamamoto, J. Yokono, and M. Fujita, Evolution of Dynamic Gaits for a Robot, IEEE International Conference on Consumer Electronics, pp. 192-193, 2000 6. N.