Acquiring Tactical and Strategic Knowledge with a Generalized Method for Chunking of Game Pieces

IF 5 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Steven Walczak, Douglas Dankei
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引用次数: 0

Abstract

The physical configuration of playing pieces on a game board contains a plethora of information which can be used by the game player. Current computer game programs deal well with some positional and tactical information that is built into the program, but are incapable of acquiring and using strategic information. We present a technique for capturing strategic and tactical chunks or patterns of pieces in game domains. The chunking technique models the cognitive method employed by expert level human game players and acquires knowledge that is mostly domain independent. Induction is performed on the collection of chunks captured for a particular adversary to identify the playing style of that adversary.
用一种一般化的棋子分块方法获取战术和战略知识
游戏棋盘上棋子的物理配置包含了玩家可以使用的大量信息。目前的电脑游戏程序可以很好地处理程序中内置的一些位置和战术信息,但无法获取和使用战略信息。我们提出了一种在游戏领域中捕获战略和战术块或碎片模式的技术。分块技术模拟了专家级人类游戏玩家的认知方法,获得的知识大多是领域独立的。归纳是针对特定对手捕获的大块集合执行的,以识别该对手的游戏风格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Intelligent Systems
International Journal of Intelligent Systems 工程技术-计算机:人工智能
CiteScore
11.30
自引率
14.30%
发文量
304
审稿时长
9 months
期刊介绍: The International Journal of Intelligent Systems serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. With its peer-reviewed format, the journal explores several fascinating editorials written by today''s experts in the field. Because new developments are being introduced each day, there''s much to be learned — examination, analysis creation, information retrieval, man–computer interactions, and more. The International Journal of Intelligent Systems uses charts and illustrations to demonstrate these ground-breaking issues, and encourages readers to share their thoughts and experiences.
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