Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/101556
Title: Leadership scenarios in prisoner's dilemma game
Authors: Babajanyan, S. G.
Melkikh, A. V.
Allahverdyan, A. E.
Issue Date: 2020
Publisher: Elsevier B.V.
Citation: Babajanyan S. G. Leadership scenarios in prisoner's dilemma game / S. G. Babajanyan, A. V. Melkikh, A. E. Allahverdyan. — DOI 10.1016/j.physa.2019.123020 // Physica A: Statistical Mechanics and its Applications. — 2020. — Vol. 545. — 123020.
Abstract: The prisoner's dilemma game is the most known contribution of game theory into social sciences. Here we describe new implications of this game for transactional and transformative leadership. While the autocratic (Stackelberg's) leadership is inefficient for this game, we discuss a Pareto-optimal scenario, where the leader L commits to react probabilistically to pure strategies of the follower F, which is free to make the first move. Offering F to resolve the dilemma, L is able to get a larger average pay-off. The exploitation can be stabilized via repeated interaction of L and F, and turns to be more stable than the egalitarian regime, where the pay-offs of L and F are equal. The total (summary) pay-off of the exploiting regime is never larger than in the egalitarian case. We discuss applications of this solution to a soft method of fighting corruption and to modeling the Machiavellian leadership. Whenever the defection benefit is large, the optimal strategies of F are mixed, while the summary pay-off is maximal. One mechanism for sustaining this solution is that L recognizes intentions of F. © 2019 Elsevier B.V.
Keywords: FOLLOWERSHIP
HIERARCHIC GAMES
LEADERSHIP
MIXED STRATEGIES
PRISONER'S DILEMMA
PARETO PRINCIPLE
FOLLOWERSHIP
HIERARCHIC GAMES
LEADERSHIP
MIXED STRATEGY
PRISONER'S DILEMMA
GAME THEORY
URI: http://hdl.handle.net/10995/101556
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85080143863
PURE ID: 12421896
04c42b65-9140-4d38-bef8-908783f54e14
ISSN: 3784371
DOI: 10.1016/j.physa.2019.123020
metadata.dc.description.sponsorship: We thank A. Khachatryan for useful discussions. AEA and SGB were supported by SCS of Armenia , grants No. 18RF-002 and No. 18T-1C090 . AVM was supported by RFBR via the research project 18-51-05007 arm_a.
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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