Click on a term to reduce result list
The result list below will be reduced to the selected search terms. The terms are generated from the titles, abstracts and STW thesaurus of publications by the respective author.
85 records from EconBiz based on author Name
1. Rage Against the Machines : How Subjects Learn to Play Against Computers
abstractWe use an experiment to explore how subjects learn to play against computers which are programmed to follow one of a number of standard learning algorithms. The learning theories are (unbeknown to subjects) a best response process, fictitious play, imitation, reinforcement learning, and a trial & error process. 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. The experiment was conducted, both, on the internet and in the usual laboratory setting. We find some systematic differences, which however can be traced to the different incentives structures rather than the experimental environment
Dürsch, Peter; Kolb, Albert; Oechssler, Joerg; Schipper, Burkhard;2015
Availability: Link Link
Citations: 2 (based on OpenCitations)
2. Rage against the machines : how subjects learn to play against computers
Dürsch, Peter; Kolb, Albert; Oechssler, Joerg; Schipper, Burkhard;2005
Type: Arbeitspapier; Working Paper;
Availability: Link
3. Rage against the machines : how subjects learn to play against computers
abstractWe use an experiment to explore how subjects learn to play against computers which are programmed to follow one of a number of standard learning algorithms. The learning theories are (unbeknown to subjects) a best response process, fictitious play, imitation, reinforcement learning, and a trial & error process. 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. The experiment was conducted, both, on the internet and in the usual laboratory setting. We find some systematic differences, which however can be traced to the different incentives structures rather than the experimental environment.
Dürsch, Peter; Kolb, Albert; Oechssler, Joerg; Schipper, Burkhard;2005
Type: Graue Literatur; Non-commercial literature; Arbeitspapier; Working Paper;
Availability: Link Link
4. Rage against the machines
abstractWe use an experiment to explore how subjects learn to play against computers which are programmed to follow one of a number of standard learning algorithms. The learning theories are (unbeknown to subjects) a best response process, fictitious play, imitation, reinforcement learning, and a trial & error process. 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. The experiment was conducted, both, on the internet and in the usual laboratory setting. We find some systematic differences, which however can be traced to the different incentives structures rather than the experimental environment.
Dürsch, Peter; Kolb, Albert; Oechssler, Joerg; Schipper, Burkhard;2005
Type: Amtsdruckschrift; Government document; Statistik; Statistics; Arbeitspapier; Working Paper; Graue Literatur; Non-commercial literature;
Availability: Link
5. Rage against the machines : how subjects learn to play against computers
abstractWe use an experiment to explore how subjects learn to play against computers which are programmed to follow one of a number of standard learning algorithms. The learning theories are (unbeknown to subjects) a best response process, fictitious play, imitation, reinforcement learning, and a trial & error process. 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. The experiment was conducted, both, on the internet and in the usual laboratory setting. We find some systematic differences, which however can be traced to the different incentives structures rather than the experimental environment.
Dürsch, Peter; Kolb, Albert; Oechssler, Joerg; Schipper, Burkhard;2005
Type: Arbeitspapier; Working Paper; Graue Literatur; Non-commercial literature;
Availability:
6. Rage against the machines : how subjects play against learning algorithms
Dürsch, Peter; Kolb, Albert; Oechssler, Joerg; Schipper, Burkhard;2010
Type: Aufsatz in Zeitschrift; Article in journal;
Availability: Link
7. Rage against the machines: how subjects learn to play against computers
Schipper, Burkhard C.; Dürsch, Peter; Kolb, Albert; Oechssler, Jörg;2008
Type: Working Paper;
Availability:
8. Rage Against the Machines: How Subjects Learn to Play Against Computers
Dürsch, Peter; Kolb, Albert; Oechssler, Jörg; Schipper, Burkhard C.;2005
Type: Working Paper;
Availability:
9. Rage Against the Machines: How Subjects Learn to Play Against Computers
Dürsch, Peter; Kolb, Albert; Oechssler, Jörg; Schipper, Burkhard C.;2005
Type: Working Paper;
Availability:
Link 10. Rage Against the Machines: How Subjects Learn to Play Against Computers
Dürsch, Peter; Kolb, Albert; Oechssler, Jörg; Schipper, Burkhard C.;2005
Type: Working Paper;
Availability: