Name
Abstract | ||
|---|---|---|
This article presents a method for estimating team formation based on a Markov chains games approach. The proposed approach represents the coalition structure using the Pareto front and naturally solves two fundamental problems in team formation: the coalition value computation and the payoff distribution. Central to this endeavor is the problem of finding the strong Nash equilibrium for which we employ the Newton optimization method. We use the Tikhonov regularization for ensuring the existence of a unique strong Nash equilibrium. The visualization technique plays a key role in helping decision-makers for team formation. An application example analyzes the optimal bundling strategies for a multiservice monopolist bank. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1080/01969722.2019.1598677 | CYBERNETICS AND SYSTEMS |
Keywords | Field | DocType |
Coalition value,Markov chains,payoff distribution,strong Nash equilibrium,team formation | Tikhonov regularization,Mathematical optimization,Strong Nash equilibrium,Visualization,Markov chain,Multi-objective optimization,Mathematics,Stochastic game,Computation | Journal |
Volume | Issue | ISSN |
50.0 | 5 | 0196-9722 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julio B. Clempner | 1 | 91 | 20.11 |