神经网络进化到玩点和框的游戏
Evolution of Neural Networks to Play the Game of Dots-and-Boxes
摘要：
点和框是一个孩子的游戏，仍然是分析未解决的。我们实现和发展人工神经网络玩这个游戏，评估他们对简单的启发式球员。我们的网络不评估或预测游戏的最终结果，而是在每个阶段推荐移动。发现了共同进化的种群对游戏的卓越概括，并与使用简单的反向传播作为神谕训练的网络进行了比较。
英文摘要：
Dots-and-Boxes is a child's game which remains analytically unsolved. We implement and evolve artificial neural networks to play this game, evaluating them against simple heuristic players. Our networks do not evaluate or predict the final outcome of the game, but rather recommend moves at each stage. Superior generalisation of play by co-evolved populations is found, and a comparison made with networks trained by back-propagation using simple heuristics as an oracle.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
