全球智库信息集成服务系统(G2TT): Learning Through Fictitious Play in a Game-Theoretic Model of Natural Resource Consumption.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1109/LCSYS.2017.2777898
	Learning Through Fictitious Play in a Game-Theoretic Model of Natural Resource Consumption.
	Manzoor T; Rovenskaya E; Davydov A; Muhammad A
发表日期	2018
出处	IEEE Control Systems Letters 2 (1): 163-168
出版年	2018
语种	英语
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.
主题	Advanced Systems Analysis (ASA)
关键词	Human-in-the-loop control, game theory
URL	http://pure.iiasa.ac.at/id/eprint/15023/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/131338
推荐引用方式 GB/T 7714	Manzoor T,Rovenskaya E,Davydov A,et al. Learning Through Fictitious Play in a Game-Theoretic Model of Natural Resource Consumption.. 2018.