Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Jochen Staudacher"'
Autor:
Jochen Staudacher, Tim Pollmann
Publikováno v:
AppliedMath, Vol 3, Iss 4, Pp 957-988 (2023)
Computing Shapley values for large cooperative games is an NP-hard problem. For practical applications, stochastic approximation via permutation sampling is widely used. In the context of machine learning applications of the Shapley value, the concep
Externí odkaz:
https://doaj.org/article/6896d2c4e8844a0c8793869005adb096
Publikováno v:
Mathematics, Vol 11, Iss 24, p 4905 (2023)
This paper reviews the recent literature on the “social ranking problem”, that is, the problem of converting group rankings into individual rankings. We introduce and categorize existing social ranking methods and we briefly explain their attribu
Externí odkaz:
https://doaj.org/article/9dfbde1e0eb84d2da323ea2eb09e215b
Autor:
Jochen Staudacher, László Á. Kóczy, Izabella Stach, Jan Filipp, Marcus Kramer, Till Noffke, Linus Olsson, Jonas Pichler, Tobias Singer
Publikováno v:
Operations Research and Decisions, Vol vol. 31, Iss no. 2, Pp 123-145 (2021)
We study the efficient computation of power indices for weighted voting games using the paradigm of dynamic programming. We survey the state-of-the-art algorithms for computing the Banzhaf and Shapley-Shubik indices and point out how these approaches
Externí odkaz:
https://doaj.org/article/67cf716e822145268ab39a4807cdd0c0
Publikováno v:
Entropy, Vol 25, Iss 3, p 429 (2023)
The purpose of this paper is to introduce new methods to measure the indirect control power of firms in complex corporate shareholding structures using the concept of power indices from cooperative game theory. The proposed measures vary in desirable
Externí odkaz:
https://doaj.org/article/cf0c5fb0d86a49bbbff47079b015bde6
Autor:
Arend Hintze, Jochen Staudacher, Katja Gelhar, Alexander Pothmann, Juliana Rasch, Daniel Wildegger
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-8 (2020)
Abstract The public goods game is a famous example illustrating the tragedy of the commons (Hardin in Science 162:1243–1248, 1968). In this game cooperating individuals contribute to a pool, which in turn is distributed to all members of the group,
Externí odkaz:
https://doaj.org/article/930b4fbe96f64b0083e2b90fddd480f0
Publikováno v:
Games, Vol 13, Iss 1, p 6 (2021)
We study the efficient computation of power indices for weighted voting games with precoalitions amongst subsets of players (reflecting, e.g., ideological proximity) using the paradigm of dynamic programming. Starting from the state-of-the-art algori
Externí odkaz:
https://doaj.org/article/a3d6eaf64dac418cb9fa587cafdad54f
Publikováno v:
Entropy, Vol 23, Iss 12, p 1598 (2021)
The aim of the article is to propose a new method of valuation of a company, considering its ownership relations with other companies. For this purpose, the concept of the Shapley value from cooperative game theory is used as the basis for assessing
Externí odkaz:
https://doaj.org/article/88aa35aa00be44cda8fdfb97f8ad4863
Autor:
Jochen Staudacher
Publikováno v:
Power and Responsibility ISBN: 9783031230141
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4504e8a0854a04be172f69cd1727daec
https://doi.org/10.1007/978-3-031-23015-8_6
https://doi.org/10.1007/978-3-031-23015-8_6
Publikováno v:
Games; Volume 13; Issue 1; Pages: 6
We study the efficient computation of power indices for weighted voting games with precoalitions amongst subsets of players (reflecting, e.g., ideological proximity) using the paradigm of dynamic programming. Starting from the state-of-the-art algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fe9fdc895dab8738c1501d8c3eb7506
https://hdl.handle.net/10419/257583
https://hdl.handle.net/10419/257583
Publikováno v:
Transactions on Computational Collective Intelligence XXXVII ISBN: 9783662665961
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1405432a7123daddb4b3af2b1568119
https://doi.org/10.1007/978-3-662-66597-8_3
https://doi.org/10.1007/978-3-662-66597-8_3