Multilevel Reverse Stackelberg Differential Games: Existence and Solution Approach for Affine Strategies
Seyfe Belete Worku (),
Birilew Belayneh Tsegaw () and
Semu Mitiku Kassa ()
Additional contact information
Seyfe Belete Worku: Bahir Dar University
Birilew Belayneh Tsegaw: Bahir Dar University
Semu Mitiku Kassa: Botswana International University of Science and Technology
Journal of Optimization Theory and Applications, 2023, vol. 196, issue 2, No 10, 617-640
Abstract:
Abstract This article considers multilevel sequential differential games over fixed time interval. In this continuous time game structure, the leader controls the outcome by announcing a reverse Stackelberg strategy as a mapping from the decision spaces of the followers to his/her decision space. The leader constructs such a strategy based on the control of the followers, which can be determined up to the current time only, also called causal strategy. Existence of affine reverse Stackelberg strategy for multilevel differential games is proved, and a method to obtain such set of strategies is also presented. The structure of this game can be adopted to many application areas, in particular in decentralized continuous decision making situations such as marketing system, taxation and budget allocation. As compared to the existing literature, the result applies to more general game settings and hierarchical levels of decisions.
Keywords: Reverse Stackelberg differential games; Multilevel games; Team solution; Causal strategy; Desired equilibrium; 49N10; 90B50; 90C25; 90C30; 91A23 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10957-022-02149-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:196:y:2023:i:2:d:10.1007_s10957-022-02149-1
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-022-02149-1
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().