Lecture #10 was a guest lecture on evolutionary computing
Notes are available in two formats:
Here are the papers mentioned in the notes. The first are the papers on Tron:
P. Funes, E. Sklar, H. Juillé and J. B. Pollack (1998). Animal-Animat Coevolution: Using the Animal Population as Fitness Function. In Pfeifer, R. et. al. (eds), From Animals to Animats 5: Proceedings of the Fifth International Conference on Simulation of Adaptive Behavior (SAB-98), MIT Press, pp. 525-533.
E. Sklar, A. D. Blair, P. Funes and J. Pollack (1999). Training Intelligent Agents Using Human Internet Data. In Proceedings of the First Asia-Pacific Conference on Intelligent Agent Technology (IAT-99), pp 354-363.Then we have a paper on genetic algorithms:
M. Mitchell and S. Forrest (1995). Genetic Algorithms and Artificial Life, in Artificial Life: An Overview. edited by Christopher G. Langton. publisher: MIT Press, pp268-289.A paper on genetic programming:
J. R. Koza (1991). Evolution and co-evolution of computer programs to control independently-acting agents. From Animals to Animats. Proceedings of the First International Conference on Simulation of Adaptive Behavior. MIT Press.A paper on evolutionary neural networks:
D. B. Fogel, L. J. Fogel and V. W. Porto (1990). Evolving Neural Networks, Biological Cybernetics, 63, pp487-493.Finally we have a paper on coevolution:
J. B. Pollack and A. D. Blair (1998). Co-Evolution in the Successful Learning of Backgammon Strategy. Machine Learning, 32(3), pp225-240.Very little of this material is covered in the textbook, so these papers should be your starting point if you want to know more.