首页> 外文会议>Australasian joint conference on artificial intelligence >Lifted Backward Search for General Game Playing
【24h】

Lifted Backward Search for General Game Playing

机译:取消向后搜索一般游戏

获取原文

摘要

A General Game player is a computer program that can play games of which the rules are only known at run-time. These rules are usually given as a logic program. General Game players commonly apply a tree search over the state space, which is time consuming. In this paper we therefore present a new method that allows a player to detect that a future state satisfies some beneficial properties, without having to explicitly generate that state in the search tree. This may lead to faster algorithms and hence to better performance. Our method employs a search algorithm that searches backwards through formula space rather than state space.
机译:常规游戏玩家是一种计算机程序,可以玩仅在运行时才知道其规则的游戏。这些规则通常作为逻辑程序给出。一般游戏玩家通常在状态空间上应用树搜索,这很耗时。因此,在本文中,我们提出了一种新方法,该方法允许玩家检测到将来的状态满足某些有益的属性,而不必在搜索树中显式生成该状态。这可能会导致算法更快,从而导致更好的性能。我们的方法采用了一种搜索算法,该算法通过公式空间而不是状态空间向后搜索。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号