Allocation Rules for Games with Optimistic Aspirations. (3rd September 2013)
- Record Type:
- Journal Article
- Title:
- Allocation Rules for Games with Optimistic Aspirations. (3rd September 2013)
- Main Title:
- Allocation Rules for Games with Optimistic Aspirations
- Authors:
- Carpente, Luisa
Casas-Méndez, Balbina
García-Jurado, Ignacio
van den Nouweland, Anne - Other Names:
- Tapiero Charles S. Academic Editor.
- Abstract:
- Abstract : A game with optimistic aspirations specifies two values for each coalition of players: the first value is the worth that the players in the coalition can guarantee for themselves in the event that they coordinate their actions, and the second value is the amount that the players in the coalition aspire to get under reasonable but very optimistic assumptions about the demands of the players who are not included in the coalition. In this paper, in addition to presenting this model and justifying its relevance, we introduce allocation rules and extend the properties of efficiency, additivity, symmetry, and null player property to this setting. We demonstrate that these four properties are insufficient to find a unique allocation rule and define three properties involving null players and nullifying players that allow the identification of unique allocation rules. The allocation rules we identify are the Midpoint Shapley Value and the Equal Division Rule.
- Is Part Of:
- Game theory. Volume 2013(2013)
- Journal:
- Game theory
- Issue:
- Volume 2013(2013)
- Issue Display:
- Volume 2013, Issue 2013 (2013)
- Year:
- 2013
- Volume:
- 2013
- Issue:
- 2013
- Issue Sort Value:
- 2013-2013-2013-0000
- Page Start:
- Page End:
- Publication Date:
- 2013-09-03
- Subjects:
- Game theory -- Periodicals
Game theory
Periodicals
519.3 - Journal URLs:
- https://www.hindawi.com/journals/gt/ ↗
- DOI:
- 10.1155/2013/540487 ↗
- Languages:
- English
- ISSNs:
- 2314-6559
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10804.xml