AIMC Topic: Video Games

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Self-orienting in human and machine learning.

Nature human behaviour
A current proposal for a computational notion of self is a representation of one's body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientatio...

An adaptive reinforcement learning-based multimodal data fusion framework for human-robot confrontation gaming.

Neural networks : the official journal of the International Neural Network Society
Playing games between humans and robots have become a widespread human-robot confrontation (HRC) application. Although many approaches were proposed to enhance the tracking accuracy by combining different information, the problems of the intelligence...

Predicting Churn in Online Games by Quantifying Diversity of Engagement.

Big data
Understanding engagement patterns of users in online platforms, may it be games, online social networks, or academic websites, is a widely studied topic with many real-world applications and economic consequences. A holy grail in this area of researc...

Video gaming improves robotic surgery simulator success: a multi-clinic study on robotic skills.

Journal of robotic surgery
We aimed to investigate the effects of video game habits, duration of experience, and training in different surgical clinics on the success of robotic surgery simulators. In this prospective, observational, comparative, and multi-clinical study, all ...

Deep Learning-Based ADHD and ADHD-RISK Classification Technology through the Recognition of Children's Abnormal Behaviors during the Robot-Led ADHD Screening Game.

Sensors (Basel, Switzerland)
Although attention deficit hyperactivity disorder (ADHD) in children is rising worldwide, fewer studies have focused on screening than on the treatment of ADHD. Most previous similar ADHD classification studies classified only ADHD and normal classes...

Mastering the game of Stratego with model-free multiagent reinforcement learning.

Science (New York, N.Y.)
We introduce DeepNash, an autonomous agent that plays the imperfect information game Stratego at a human expert level. Stratego is one of the few iconic board games that artificial intelligence (AI) has not yet mastered. It is a game characterized by...

Human-level play in the game of by combining language models with strategic reasoning.

Science (New York, N.Y.)
Despite much progress in training artificial intelligence (AI) systems to imitate human language, building agents that use language to communicate intentionally with humans in interactive environments remains a major challenge. We introduce Cicero, t...

Obesity and individual performance: the case of eSports.

International journal of obesity (2005)
BACKGROUND/OBJECTIVES: The study considers the problem of the inclusion of people with obesity in the context of the growing role of computer-based work. Negative stereotypes about people with obesity still hold even when they are irrelevant in tasks...

n-Player Stochastic Duel Game Model with Applied Deep Learning and Its Modern Implications.

Sensors (Basel, Switzerland)
This paper provides a conceptual foundation for stochastic duels and contains a further study of the game models based on the theory of stochastic duels. Some other combat assessment techniques are looked upon briefly; a modern outlook on the applica...

Outracing champion Gran Turismo drivers with deep reinforcement learning.

Nature
Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of these conditions; drivers must execute complex tactical ma...