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Values under Uncertainty

Title data

Kurz, Sascha ; Mayer, Alexander:
Values under Uncertainty.
2019
Event: 15th European Meeting on Game Theory 2019 : Sing15 , 2-4.7.2019 , Turku, Finland.
(Conference item: Conference , Speech )

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Abstract in another language

Sharing costs or benefits obtained through cooperation is a central economic problem. One way to address this issue is to model the cooperative environment as a characteristic function form game and then to use a value, i.e., sharing rule, to determine a division. However, a shortcoming of this approach is that a real-valued number has to be assigned to each subset of players. This asks for too much in many applications since evaluating the precise worth of every coalition is either impossible or comes at a high cost. A useful tool to handle such situations are cooperative interval games. They assign an interval of real numbers to each coalition. We are interested in the computation of bounds for values of realizing
cooperative games within those ranges and present corresponding algorithms. Our approach proves to be particularly useful if the true but unknown game has
additional structure (e.g., monotonicity).

Further data

Item Type: Conference item (Speech)
Refereed: No
Additional notes: speaker: Alexander Mayer
Keywords: cost sharing; uncertainty; cooperative games
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics in Economy
Faculties > Faculty of Law, Business and Economics > Department of Economics > Chair Economics IV
Profile Fields > Emerging Fields > Governance and Responsibility
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Economics
Profile Fields
Profile Fields > Emerging Fields
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
500 Science > 510 Mathematics
Date Deposited: 04 Nov 2019 10:09
Last Modified: 04 Nov 2019 10:09
URI: https://eref.uni-bayreuth.de/id/eprint/52992