Rage Against the Machines: How Subjects Learn to Play Against Computers [Dataset]
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'We use a large-scale internet experiment to explore how subjects learn to play against computers that are programmed to follow one of a number of standard learning algorithms. The learning theoriesare (unbeknown to subjects) a best response process, fictitious play, imitation, reinforcement learning, and a trial& error process. We explore how subjects’ performances depend on their opponents’ learning algorithm. Furthermore, we test whether subjects try to influence those algorithms to their advantage in a forward-looking way (strategic teaching). We find that strategic teaching occurs frequently and that all learning algorithms are subject to exploitation with the notable exception of imitation' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Cournot duopoly","Experiments","Fictitious play","Imitation","Internet","Learning","Reinforcement","Strategic teaching","Trial & error"]} <|eot_id|>
 Here is the Description of a dataset. Description:'We use a large-scale internet experiment to explore how subjects learn to play against computers that are programmed to follow one of a number of standard learning algorithms. The learning theoriesare (unbeknown to subjects) a best response process, fictitious play, imitation, reinforcement learning, and a trial& error process. We explore how subjects’ performances depend on their opponents’ learning algorithm. Furthermore, we test whether subjects try to influence those algorithms to their advantage in a forward-looking way (strategic teaching). We find that strategic teaching occurs frequently and that all learning algorithms are subject to exploitation with the notable exception of imitation' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
We use a large-scale internet experiment to explore how subjects learn to play against computers that are programmed to follow one of a number of standard learning algorithms. The learning theoriesare (unbeknown to subjects) a best response process, fictitious play, imitation, reinforcement learning, and a trial& error process. We explore how subjects’ performances depend on their opponents’ learning algorithm. Furthermore, we test whether subjects try to influence those algorithms to their advantage in a forward-looking way (strategic teaching). We find that strategic teaching occurs frequently and that all learning algorithms are subject to exploitation with the notable exception of imitation
Cournot duopoly; Experiments; Fictitious play; Imitation; Internet; Learning; Reinforcement; Strategic teaching; Trial & error