首页> 外文学位 >Representations of and strategies for static information, noncooperative games with imperfect information.
【24h】

Representations of and strategies for static information, noncooperative games with imperfect information.

机译:静态信息的表示和策略,具有不完善信息的非合作游戏。

获取原文
获取原文并翻译 | 示例

摘要

In this thesis, we will examine a card game called MYST, a variant of the Parker Brothers' classic board game Clue. In MYST, a set of cards is divided uniformly among a set of players, and the remaining cards form a hidden pile. The goal of each player is to be the first to determine the contents of the hidden pile. On their turn, a player asks a question about the holdings of the other players, and, through a process of elimination, a player can determine the contents of the hidden pile.; MYST is one of few static information games, wherein the position does not change during the course of the game. To do well, players need to reason about their opponents' holdings over the course of multiple turns, and therefore a sound representation of knowledge is required. MYST is an interesting game for AI because it ties elements of knowledge representation to game theory and game strategy.; After informally introducing the essential elements of the game, we will offer a formal specification of the game in terms of first-order logic and the situation calculus developed by Levesque et al. Strategies will be discussed including: existence of a winning strategy, randomized strategies, and bluffing. Implementation of some strategies will be discussed.
机译:在本文中,我们将研究一种名为MYST的纸牌游戏,它是Parker Brothers经典棋盘游戏Clue的一种变体。在MYST中,一组纸牌在一组玩家中平均分配,其余的纸牌形成一个隐藏的堆。每个玩家的目标是成为第一个确定隐藏堆内容的人。在轮到他们时,一个玩家问有关其他玩家的持牌的问题,通过淘汰过程,玩家可以确定隐藏堆的内容。 MYST是为数不多的静态信息游戏之一,其位置在游戏过程中不会改变。为了做得好,玩家需要在多个回合的过程中对对手的持牌情况进行推理,因此需要对知识进行合理的表述。 MYST对于AI来说是一个有趣的游戏,因为它将知识表示的元素与博弈论和博弈策略联系在一起。在非正式地介绍了游戏的基本要素之后,我们将根据Levesque等人开发的一阶逻辑和情境演算来提供游戏的正式规范。将讨论的策略包括:获胜策略的存在,随机策略和虚张声势。将讨论一些策略的实施。

著录项

  • 作者

    Bart, Bradley S.;

  • 作者单位

    Simon Fraser University (Canada).;

  • 授予单位 Simon Fraser University (Canada).;
  • 学科 Computer Science.; Artificial Intelligence.
  • 学位 M.Sc.
  • 年度 2000
  • 页码 57 p.
  • 总页数 57
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;人工智能理论;
  • 关键词

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