Deceptive games
Anderson, Damien and Stephenson, Matthew and Togelius, Julian and Salge, Christian and Levine, John and Renz, Jochen (2018) Deceptive games. Lecture Notes in Computer Science, 10784. pp. 376-391. ISSN 0302-9743 (https://doi.org/10.1007/978-3-319-77538-8_26)
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Abstract
Deceptive games are games where the reward structure or other aspects of the game are designed to lead the agent away from a globally optimal policy. While many games are already deceptive to some extent, we designed a series of games in the Video Game Description Language (VGDL) implementing specific types of deception, classified by the cognitive biases they exploit. VGDL games can be run in the General Video Game Artificial Intelligence (GVGAI) Framework, making it possible to test a variety of existing AI agents that have been submitted to the GVGAI Competition on these deceptive games. Our results show that all tested agents are vulnerable to several kinds of deception, but that different agents have different weaknesses. This suggests that we can use deception to understand the capabilities of a game-playing algorithm, and game-playing algorithms to characterize the deception displayed by a game.
ORCID iDs
Anderson, Damien ORCID: https://orcid.org/0000-0002-8554-3068, Stephenson, Matthew, Togelius, Julian, Salge, Christian, Levine, John ORCID: https://orcid.org/0000-0001-7016-2978 and Renz, Jochen;-
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Item type: Article ID code: 63878 Dates: DateEvent8 March 2018Published8 March 2018Published Online3 January 2018AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 27 Apr 2018 00:25 Last modified: 16 Sep 2024 20:00 URI: https://strathprints.strath.ac.uk/id/eprint/63878