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experiment with 743 subjects whether small-scale, seemingly negligible, events also affect the formation of risk preferences. In … line with a reinforcement learning model, we find that subjects who won a random lottery took significantly more risk in a … second lottery almost a year later. The same pattern emerges in another experiment with 136 subjects where the second lottery …
Persistent link: https://www.econbiz.de/10012607969
Understanding the roots of human cooperation among strangers is of great importance for solving pressing social dilemmas and maintening public goods in human societies. We study the development of cooperation in 929 young children, aged 3 to 6. In a unified experimental framework, we examine...
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; promotion ; firing ; contract ; experiment ; learning … three mechanisms with the appropriate distribution of prizes. We test the model's predictions in a laboratory experiment and … behavior in all mechanisms is consistent with basic directional and reinforcement learning. -- tournament ; reward ; punishment …
Persistent link: https://www.econbiz.de/10009743404
. The results show that reinforcement learning leads to dynamics similar to those observed in standard public goods games … explained by reinforcement learning. According to our estimates, learning only accounts for 41 percent of the decay in …, differ strongly from the learning dynamics, while a learning model estimated from the limited information treatment tracks …
Persistent link: https://www.econbiz.de/10009735336
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paradigmatic instance of observational learning. There are three players, arranged in sequence, each of whom wins a fixed price if … learning ; error cascades …
Persistent link: https://www.econbiz.de/10009733223
algorithms. This paper describes the "evtree" package, which implements an evolutionary algorithm for learning globally optimal … similar and most of the time better results compared to the recursive algorithms "rpart" and "ctree". -- machine learning …
Persistent link: https://www.econbiz.de/10009737522
Cognitive diagnosis models (CDMs) are an increasingly popular method to assess mastery or nonmastery of a set of fine-grained abilities in educational or psychological assessments. Several inference techniques are available to quantify the uncertainty of model parameter estimates, to compare...
Persistent link: https://www.econbiz.de/10011528967