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pro vyhledávání: '"Buchali, Katrin"'
Recent experimental simulations have shown that autonomous pricing algorithms are able to learn collusive behavior and thus charge supra-competitive prices without being explicitly programmed to do so. These simulations assume, however, that both fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::28264cfde87ce043962b696191dd40cf
http://opus.uni-hohenheim.de/volltexte/2023/2127/
http://opus.uni-hohenheim.de/volltexte/2023/2127/
Autor:
Buchali, Katrin
When it comes to product prices, two major topics have dominated the public debate in recent years: One is pricing with the help of artificial intelligence, and the other is the price level, which has risen more than usual with the onset of the COVID
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______611::70280c5299172474ac7a99b9047755b2
http://opus.uni-hohenheim.de/volltexte/2023/2171/
http://opus.uni-hohenheim.de/volltexte/2023/2171/
Autor:
Buchali, Katrin
With the advent of big data, unique opportunities arise for data collection and analysis and thus for personalized pricing. We simulate a self-learning algorithm setting personalized prices based on additional information about consumer sensi- tiviti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8a67e21a482a45327995fe0c776a0d94
https://hdl.handle.net/10419/235530
https://hdl.handle.net/10419/235530