Learning Through Fictitious Play in a Game-Theoretic Model of Natural Resource Consumption

被引:6
|
作者
Manzoor, Talha [1 ]
Rovenskaya, Elena [2 ,3 ]
Davydov, Alexey [2 ,4 ]
Muhammad, Abubakr [1 ]
机构
[1] Lahore Univ Management Sci, Ctr Water Informat & Technol, Dept Elect Engn, Lahore 54792, Pakistan
[2] Int Inst Appl Syst Anal, Adv Syst Anal Program, A-2361 Laxenburg, Austria
[3] Lomonosov Moscow State Univ, Fac Computat Math & Cybernet, Moscow 119991, Russia
[4] Natl Univ Sci & Technol MISiS, Dept Math, Moscow 119049, Russia
来源
IEEE CONTROL SYSTEMS LETTERS | 2018年 / 2卷 / 01期
关键词
Human-in-the-loop control; game theory;
D O I
10.1109/LCSYS.2017.2777898
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Understanding the emergence of sustainable behavior in dynamic models of resource consumption is essential for control of coupled human and natural systems. In this letter, we analyze a mathematical model of resource exploitation recently reported by the authors. The model incorporates the cognitive decision-making process of consumers and has previously been studied in a game-theoretic context as a static two-player game. In this letter, we extend the analysis by allowing the agents to adapt their psychological characteristics according to simple best-response learning dynamics. We show that, under the selected learning scheme, the Nash Equilibrium is reachable provided certain conditions on the psychological attributes of the consumers are fulfilled. Moreover, the equilibrium solution obtained is found to be sustainable in the sense that no players exhibit free-riding behavior, a phenomenon which occurs in the original open-loop system. In the process, via a Lyapunov-function based approach, we also provide a proof for the asymptotic global stability of the original system which was previously known to be only locally stable.
引用
收藏
页码:163 / 168
页数:6
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