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In recent years, significant research attention has been paid to evolving self-learning checkers players. Fogel's Blondie24 has been very successful in this field and has inspired other researchers to further develop this area. In this paper we address the question of whether piece difference is an important factor in the Blondie24 architecture. Although this issue has been addressed before, this...
Evolving self-learning players has attracted a lot of research attention in recent years. Fogel's Blondie24 represents one of the successes in this field and a strong motivating factor for other scientists. In this paper evolutionary neural networks, evolved via an evolution strategy, are utilised to evolve game playing strategies for the game of checkers by introducing a league structure into the...
In this paper, we investigate an integration of a best population pool and social learning, utilising evolutionary neural networks. The experiments are divided into several intervals, and we keep the best player from each interval in the best population pool (BP-pool). Social learning allows poor performing players to learn from those players, which are playing at a higher level. The feed forward...
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