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Algorithmic transparency with strategic users
Wang, Qiaochu; Huang, Yan; Jasin, Stefanus; Singh, Param Vir - In: Management science : journal of the Institute for … 69 (2023) 4, pp. 2297-2317
Persistent link: https://www.econbiz.de/10014305405
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Learning competitive dynamic airline pricing under different customer models
Collins, Andrew J.; Thomas, Lyn C. - In: Journal of revenue and pricing management 12 (2013) 5, pp. 416-430
Persistent link: https://www.econbiz.de/10010188651
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Conspicuous by its absence : diagnostic expert testing under uncertainty
Dai, Tinglong; Singh, Shubhranshu - In: Marketing science : the marketing journal of the … 39 (2020) 3, pp. 540-563
Persistent link: https://www.econbiz.de/10012294681
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What can game theory tell us about an AI "theory of mind"?
Harre, Michael - In: Games 13 (2022) 3, pp. 1-11
complexity of one-on-one and large-scale social coordination. To make this explicit, I will illustrate the relationship between …
Persistent link: https://www.econbiz.de/10013367752
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Validating game-theoretic models of terrorism : insights from machine learning
Bang, James T.; Basuchoudhary, Atin; Mitra, Aniruddha - In: Games 12 (2021) 3, pp. 1-20
There are many competing game-theoretic analyses of terrorism. Most of these models suggest nonlinear relationships between terror attacks and some variable of interest. However, to date, there have been very few attempts to empirically sift between competing models of terrorism or identify...
Persistent link: https://www.econbiz.de/10012591410
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Computing human-understandable strategies : deducing fundamental rules of poker strategy
Ganzfried, Sam; Yusuf, Farzana - In: Games 8 (2017) 4, pp. 1-13
Algorithms for equilibrium computation generally make no attempt to ensure that the computed strategies are understandable by humans. For instance the strategies for the strongest poker agents are represented as massive binary files. In many situations, we would like to compute strategies that...
Persistent link: https://www.econbiz.de/10011771259
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Testing game theory of mind models for Artificial Intelligence
Harre, Michael; El-Tarifi, Husam - In: Games 15 (2024) 1, pp. 1-11
In this article, we investigate the relative performance of artificial neural networks and structural models of decision theory by training 69 artificial intelligence models on a dataset of 7080 human decisions in extensive form games. The objective is to compare the predictive power of AIs that...
Persistent link: https://www.econbiz.de/10014480871
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Popularity bias in online dating platforms : theory and empirical evidence
Celdir, Musa Eren; Cho, Soo-Haeng; Hwang, Elina H. - In: Manufacturing & service operations management : M & SOM 26 (2024) 2, pp. 537-553
Persistent link: https://www.econbiz.de/10014533627
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Vertical undbundling, the coordination of investment, and network pricing
Brunekreeft, Gert; Friedrichsen, Nele - 2010
This paper provides a formal analysis on the investment coordination problem in a vertically separated electricity … decisions of network and power plants need to be coordinated. In unbundled markets, firm-internal coordination no longer applies …. We develop a formal approach to examine whether sim- ple information exchange ("cheap talk") could restore coordination …
Persistent link: https://www.econbiz.de/10010421957
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Identifying the ranking of focal points in coordination games on the individual level
Schmidt, Robert J. - 2019
conventional coordination, where subjects bet on only one alternative, subjects coordinate by the distribution of points. This … coordination. The data confirms the theoretical predictions regarding coordination behavior and demonstrates that the proposed … ordinary coordination. Finally, we point to the possibility to use the mechanism as a simple and direct tool to measure the …
Persistent link: https://www.econbiz.de/10011987024