Evolutionary Game Design by Cameron Browne

By Cameron Browne

The ebook describes the world's first profitable scan in absolutely automatic board video game layout. Evolutionary tools have been used to derive new rule units inside a customized online game description language, and self-play trials used to estimate every one derived game's capability to curiosity human avid gamers. the outcome is a couple of new and fascinating video games, one among which has proved renowned and long past directly to be commercially released.

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26. 27. 28. 29. 30. 31. 32. 33. 34. 35. 36. 37. 38. 39. 40. 41. 42. 43. 44. 45. 1020 46. 47. 48. 49. 50. 51. 52. 53. 54. 55. 56. 4256 -1 Fig. 799 Criteria Weight 5. 6. 8. 13. 0585 17. 21. 25. 26. 28. 29. 30. 32. 36. 39. 45. 0826 46. Completion 51. 2576 -1 Fig. 371 at the 95% confidence level). The correlation weightings of these best 17 predictors are shown Fig. 8. This set was found using another CE method due to Frederic Maire [14]. The relative importance of each of these predictors is indicated in Fig.

Speed Test Each child game was timed at search plies of 1, 2, 3 and 4 and discarded if move planning exceeded 15 s per move. This somewhat draconian measure ensures that slower games don’t unduly hold up the evolutionary process. Speeds were improved by limiting board size to the following: • 8 9 8 square, • 11 9 11 rhombus, • 11-per-side triangular, 46 5 Evolving Games • 5-per-side hexagonal, and • 7-per-side trapezium. One concern is that these self-imposed size and speed limits will filter out more complex games, typically those on larger boards with more pieces and greater branching factors, and risk producing simple children only.

Crossover operations that produce inferior offspring are described as destructive crossover, while crossover operations that produce offspring that improve on the parents are described as constructive crossover. Some parsimony pressure is usually applied to GP populations to reduce the total population size in order to reduce the computational overhead and improve the search focus. Such pressure can be applied by only keeping offspring that improve upon their parents [53], which has the effect of raising the average fitness of the population at the expense of genetic diversity.

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