The Police Officer’s Dilemma

Author(s):  
Tobias Greitemeyer

Abstract. Correll and colleagues ( Correll, Park, Judd, & Wittenbrink, 2002 ) developed a first-person shooter task that simulates the police officer’s dilemma of whether to shoot or not a target that may present lethal danger. The present study examined the relationship between habitual violent video game play and responses in this shooting paradigm. Habitual violent video game play has been shown to increase the accessibility of aggressive thoughts. Previous research also demonstrated that action video game play has a positive impact on perceptual skills. Hence, it was hypothesized that players of violent video games would be more likely to mistakenly shoot a target and exhibit shorter reaction times in the shooting task. Results revealed that reaction times, but not error rates, were significantly associated with habitual violent video game play. These findings suggest that habitual violent video game play may have a positive impact on overall processing skills without limiting accuracy.

2020 ◽  
Author(s):  
Christopher R Madan

Video games are sometimes used as environments to evaluate AI agents' ability to develop and execute complex action sequences to maximize a defined reward. However, humans cannot match the fine precision of timed actions of AI agents--in games such as StarCraft, build orders take the place of chess opening gambits. However, unlike strategy games, such as chess and go, video games also rely heavily on sensorimotor precision. If the `finding' was merely that AI agents have superhuman reaction times and precision, none would be surprised. The goal is rather to look at adaptive reasoning and strategies produced by AI agents that may replicate human approaches or even result in strategies not previously produced by humans.Here I will provide: (1) an overview of observations where AI agents are perhaps not being fairly evaluated relative to humans, (2) a potential approach for making this comparison more appropriate, and (3) highlight some important recent advances in video-game play provided by AI agents.


2012 ◽  
Vol 48 (4) ◽  
pp. 1044-1057 ◽  
Author(s):  
Teena Willoughby ◽  
Paul J. C. Adachi ◽  
Marie Good

Challenges ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 18
Author(s):  
Christopher R. Madan

Video games are sometimes used as environments to evaluate AI agents’ ability to develop and execute complex action sequences to maximize a defined reward. However, humans cannot match the fine precision of the timed actions of AI agents; in games such as StarCraft, build orders take the place of chess opening gambits. However, unlike strategy games, such as chess and Go, video games also rely heavily on sensorimotor precision. If the “finding” was merely that AI agents have superhuman reaction times and precision, none would be surprised. The goal is rather to look at adaptive reasoning and strategies produced by AI agents that may replicate human approaches or even result in strategies not previously produced by humans. Here, I will provide: (1) an overview of observations where AI agents are perhaps not being fairly evaluated relative to humans, (2) a potential approach for making this comparison more appropriate, and (3) highlight some important recent advances in video game play provided by AI agents.


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