Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Image from Google Jackets

Pre-kernel as a tractable solution for cooperative games : an exercise in algorithmic game theory / Holger Ingmar Meinhardt.

By: Material type: TextTextSeries: Theory and decision library C; Game theory, social choice, decision theory, and optimization ; v 45Publication details: Berlin : Springer-Verlag, 2014.Description: xxxiii, 242 pISBN:
  • 9783642395482 (hard cover : alk. paper)
Subject(s): DDC classification:
  • 23 M514 519.3
Contents:
1. Introduction-- 2. Some Solution Schemes and Game Properties -- 3. The Shapley Value and (Pre-Kernel) as a Fairness Concept -- 4. Fair Division in Cournot Markets -- 5. Some Preliminary Results -- 6. A Pre-Kernel Characterization and Orthogonal Projection -- 7. Characterization of the Pre-Kernel by Solution Sets -- 8. Algorithms for Computing the Pre-Kernel -- 9. An Upper Dimension Bound of the Pre-Kernel -- 10. Concluding Remarks-- Bibliography-- Author Index-- Subject Index.
Summary: This present book provides an alternative approach to study the pre-kernel solution of transferable utility games based on a generalized conjugation theory from convex analysis. Although the pre-kernel solution possesses an appealing axiomatic foundation that lets one consider this solution concept as a standard of fairness, the pre-kernel and its related solutions are regarded as obscure and too technically complex to be treated as a real alternative to the Shapley value. Comprehensible and efficient computability is widely regarded as a desirable feature to qualify a solution concept apart from its axiomatic foundation as a standard of fairness. We review and then improve an approach to compute the pre-kernel of a cooperative game by the indirect function. The indirect function is known as the Fenchel-Moreau conjugation of the characteristic function. Extending the approach with the indirect function, we are able to characterize the pre-kernel of the grand coalition simply by the solution sets of a family of quadratic objective functions.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 519.3 M514 (Browse shelf(Opens below)) Available 135505
Total holds: 0

Includes bibliographical references and index.

1. Introduction--
2. Some Solution Schemes and Game Properties --
3. The Shapley Value and (Pre-Kernel) as a Fairness Concept --
4. Fair Division in Cournot Markets --
5. Some Preliminary Results --
6. A Pre-Kernel Characterization and Orthogonal Projection --
7. Characterization of the Pre-Kernel by Solution Sets --
8. Algorithms for Computing the Pre-Kernel --
9. An Upper Dimension Bound of the Pre-Kernel --
10. Concluding Remarks--

Bibliography--
Author Index--
Subject Index.

This present book provides an alternative approach to study the pre-kernel solution of transferable utility games based on a generalized conjugation theory from convex analysis. Although the pre-kernel solution possesses an appealing axiomatic foundation that lets one consider this solution concept as a standard of fairness, the pre-kernel and its related solutions are regarded as obscure and too technically complex to be treated as a real alternative to the Shapley value. Comprehensible and efficient computability is widely regarded as a desirable feature to qualify a solution concept apart from its axiomatic foundation as a standard of fairness. We review and then improve an approach to compute the pre-kernel of a cooperative game by the indirect function. The indirect function is known as the Fenchel-Moreau conjugation of the characteristic function. Extending the approach with the indirect function, we are able to characterize the pre-kernel of the grand coalition simply by the solution sets of a family of quadratic objective functions.

There are no comments on this title.

to post a comment.
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in