数字经济中的算法均衡挑战

Algorithmic Equilibrium Challenges in the Digital Economy

在当今蓬勃发展的数字经济背景下,人类认知所带来的挑战正在重新定义经济学、运筹管理以及计算理论的新发展方向,呈现出引人注目的全新研究内容。与此同时,算法博弈论的迅猛发展,将计算因素与人的有限理性巧妙结合起来,为研究数字经济环境下的各类博弈场景提供了一个统一而简洁的方法框架,为经济学和博弈论带来了新的研究视角。本文回顾了数字经济不同情境下涌现出的各类经济均衡解的新概念,聚焦于参与者的策略行为对均衡结果的挑战与影响,运用算法博弈论对参与者策略行为进行激励分析,刻画博弈过程中参与者之间的竞争与合作关系,并评估不同策略行为对系统均衡的影响。

Amidst the flourishing landscape of the digital economy,the challenges arising from human cognition are fundamentally reshaping the trajectories of economics,operations management,and computational theory,unveiling captivating and innovative avenues for exploration.Meanwhile,the rapid development of algorithmic game theory adeptly integrates computational elements with human bounded rationality,providing a unified and concise methodological framework for studying various game scenarios in the digital economy,and thus bringing new perspectives to economics and game theory research.This article reviews the emerging concepts of different economic equilibria in the digital economy under various circumstances.We focus on the challenges and impacts of agentsstrategic behaviors on equilibrium outcomes.By applying algorithmic game theory,we conduct incentive analysis of agentsstrategic behaviors,depicting the competition and cooperation among all agents in the games,and evaluating the effects of different strategic behaviors on the equilibrium solutions.