Supplemental Reading List


1. Koza, J., Background on genetic algorithms, LISP, and genetic programming, Chapter 2 of Genetic Programming II, edited by J. Koza, MIT Press/Bradford Books, 1994.

2. Kinnear, K., A perspective on the work in this book, Chapter 1 of Advances in Genetic Programming, edited by K. Kinnear, Jr., MIT Press/Bradford Books, 1994.

3. Goldberg, D., Genetic algorithms revisited: mathematical foundations, Chapter 2 of Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, 1989.

4. Mitchell, M., & Forrest, S., Genetic algorithms and artificial life, in Artificial Life: An Overview, edited by C. Langton, MIT Press/Bradford Books, 1995.

5. Hofstadter, D., The Prisoner's Dilemma computer tournaments and the evolution of cooperation, Chapter 29 of Metamagical Themas, Basic Books, 1985.

6. Hillis, W. D., Co-evolving parasites improve simulated evolution as an optimization procedure, in Artificial Life II, edited by Langton, Taylor, Farmer, & Rasmussen, Addison-Wesley, 1991.

7. Langton, C., Computation at the edge of chaos: phase transitions and emergent computation, in Emergent Computation (special issue of Physica D), edited by S. Forrest, MIT Press/Bradford Books, 1990.

8. Mitchell, M., Hraber, P., & Crutchfield, J., Revisiting the edge of chaos: evolving cellular automata to perform computations, Complex Systems 7, 1993.

9. Hugues, J., & Pollack, J., Coevolving the "ideal" trainer: application to the discovery of cellular automata rules, in Proceedings of the 3rd Annual Genetic Programming Conference, 1998.

10. Lindgren, K., Evolutionary phenomena in simple dynamics, in Artificial Life II, edited by Langton, Taylor, Farmer, & Rasmussen, Addison-Wesley, 1991.

11. Lindgren, K., & Nordahl, M., Artificial food webs, in Artificial Life III, edited by C. Langton, Addison-Wesley, 1994.

12. Banzhaf, W., Self-organisation in a system of binary strings, in Artificial Life IV, edited by R. Brooks & P. Maes, MIT Press/Bradford Books, 1994.

13. Jones, T., & Rawlins, G., Reverse hillclimbing, genetic algorithms, and the Busy Beaver problem, in Proceedings of the 5th International Conference on Genetic Algorithms, 1993.

14. French, R., & Messinger, A., Genes, phenes, and the Baldwin Effect: learning and evolution in a simulated population, in Artificial Life IV, edited by R. Brooks & P. Maes, MIT Press/Bradford Books, 1994.

15. Angeline, P., & Pollack, J., The evolutionary induction of subroutines, in Proceedings of the 14th Annual Cognitive Science Society Conference, 1992.

16. Angeline, P., & Pollack, J., Coevolving high-level representations, in Artificial Life III, edited by C. Langton, Addison-Wesley, 1994.

17. Angeline, P., & Pollack, J., Competitive environments evolve better solutions for complex tasks, in Proceedings of the 5th International Conference on Genetic Algorithms, 1993.

18. Glickman, M., & Sycara, K., Evolutionary algorithms: exploring the dynamics of self-adaptation, in Proceedings of the 3rd Annual Genetic Programming Conference, 1998.

19. Ackley, D., & Littman, M., Interactions between learning and evolution, in Artificial Life II, edited by Langton, Taylor, Farmer, & Rasmussen, Addison-Wesley, 1991.

20. Ackley, D., & Littman, M., Altruism in the evolution of communication, in Artificial Life IV, edited by R. Brooks & P. Maes, MIT Press/Bradford Books, 1994.

21. Ray, T., An approach to the synthesis of life, in Artificial Life II, edited by Langton, Taylor, Farmer, & Rasmussen, Addison-Wesley, 1991.

22. Miller, G., & Todd, P., Designing neural networks using genetic algorithms, in Proceedings of the 3rd International Conference on Genetic Algorithms, 1989.

23. Belew, R., McInerney, J., & Schraudolph, N., Evolving networks: using the genetic algorithm with connectionist learning, in Artificial Life II, edited by Langton, Taylor, Farmer, & Rasmussen, Addison Wesley, 1991.

24. Pollack, J., Blair, A., & Land, M., Coevolution of a backgammon player, in Artificial Life V, edited by C. Langton & K. Shimohara, MIT Press/Bradford Books, 1997.

25. Reynolds, C., An evolved, vision-based model of obstacle avoidance behavior, in Artificial Life III, edited by C. Langton, Addison-Wesley, 1994.

26. Reynolds, C., Evolution of obstacle avoidance behavior: using noise to promote robust solutions, Chapter 10 of Advances in Genetic Programming, edited by K. Kinnear, Jr., MIT Press/Bradford Books, 1994.

27. Harvey, I., Husbands, P., & Cliff, D., Issues in evolutionary robotics, in From Animals to Animats 2: Proceedings of the 2nd International Conference on Simulation of Adaptive Behavior, 1993.

28. Schultz, A., Grefenstette, J., & Adams, W., Robo-Shepherd: learning complex robotic behaviors, in Proceedings of the International Symposium on Robotics and Automation, 1996.

29. Floreano, D., & Mondada, F., Automatic creation of an autonomous agent: genetic evolution of a neural-network driven robot, in From Animals to Animats 3: Proceedings of the 3rd International Conference on Simulation of Adaptive Behavior, 1994.

30. Floreano, D., Nolfi, S. & Mondada, F., Competitive co-evolutionary robotics: from theory to practice, in From Animals to Animats 4, edited by R. Pfeifer, MIT Press, 1998.