“Press Space To Fire”: Automatic Video Game Tutorial Generation

Michael Cerny Green; Ahmed Khalifa; Gabriella A.B. Barros; Julian Togelius

“Press Space To Fire”: Automatic Video Game Tutorial Generation

Michael Cerny Green, Ahmed Khalifa, Gabriella A.B. Barros, Julian Togelius

Research output: Contribution to conference › Paper › peer-review

Abstract

We propose the problem of tutorial generation for games, i.e. to generate tutorials which can teach players to play games, as an AI problem. This problem can be approached in several ways, including generating natural language descriptions of game rules, generating instructive game levels, and generating demonstrations of how to play a game using agents that play in a human-like manner. We further argue that the General Video Game AI framework provides a useful testbed for addressing this problem.

Original language	English (US)
Pages	75-80
Number of pages	6
State	Published - 2017
Event	13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017 - Snowbird, United States Duration: Oct 5 2017 → Oct 6 2017

Conference

Conference	13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017
Country/Territory	United States
City	Snowbird
Period	10/5/17 → 10/6/17

ASJC Scopus subject areas

General Engineering
Artificial Intelligence
Computer Graphics and Computer-Aided Design
Computer Science Applications
Human-Computer Interaction
Software

Cite this

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title = "“Press Space To Fire”: Automatic Video Game Tutorial Generation",

abstract = "We propose the problem of tutorial generation for games, i.e. to generate tutorials which can teach players to play games, as an AI problem. This problem can be approached in several ways, including generating natural language descriptions of game rules, generating instructive game levels, and generating demonstrations of how to play a game using agents that play in a human-like manner. We further argue that the General Video Game AI framework provides a useful testbed for addressing this problem.",

author = "Green, {Michael Cerny} and Ahmed Khalifa and Barros, {Gabriella A.B.} and Julian Togelius",

note = "Publisher Copyright: Copyright {\textcopyright} 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017 ; Conference date: 05-10-2017 Through 06-10-2017",

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AU - Khalifa, Ahmed

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AU - Togelius, Julian

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N2 - We propose the problem of tutorial generation for games, i.e. to generate tutorials which can teach players to play games, as an AI problem. This problem can be approached in several ways, including generating natural language descriptions of game rules, generating instructive game levels, and generating demonstrations of how to play a game using agents that play in a human-like manner. We further argue that the General Video Game AI framework provides a useful testbed for addressing this problem.

AB - We propose the problem of tutorial generation for games, i.e. to generate tutorials which can teach players to play games, as an AI problem. This problem can be approached in several ways, including generating natural language descriptions of game rules, generating instructive game levels, and generating demonstrations of how to play a game using agents that play in a human-like manner. We further argue that the General Video Game AI framework provides a useful testbed for addressing this problem.

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ER -

“Press Space To Fire”: Automatic Video Game Tutorial Generation

Abstract

Conference

ASJC Scopus subject areas

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