Explaining how to play real-time strategy games

被引：12

作者：

Metoyer, Ronald ^{[1
]}

Stumpf, Simone ^{[1
]}

Neumann, Christoph ^{[2
]}

Dodge, Jonathan ^{[1
]}

Cao, Jill ^{[1
]}

Schnabel, Aaron ^{[3
]}

机构：

[1] Oregon State Univ, Corvallis, OR 97331 USA

[2] Hewlett Packard Corp, Corvallis, OR 97330 USA

[3] 9Wood Inc, Springfield, OR 97477 USA

来源：

KNOWLEDGE-BASED SYSTEMS | 2010年 / 23卷 / 04期

关键词：

Strategy; Explanation; Real-time games; User study;

D O I：

10.1016/j.knosys.2009.11.006

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Real-time strategy games share many aspects with real situations in domains such as battle planning, air traffic control, and emergency response team management which makes them appealing test-beds for Artificial Intelligence (AI) and machine learning End-user annotations could help to provide supplemental information for learning algorithms, especially when training data is sparse This paper presents a formative study to uncover how experienced users explain game play in real-time strategy games We report the results of our analysis of explanations and discuss their characteristics that could support the design of systems for use by experienced real-time strategy game users in specifying or annotating strategy-oriented behavior. (C) 2009 Elsevier B V All rights reserved

引用

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页码：295 / 301

页数：7

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