Prediction-Regulation Dual-Drive Game Theory_ An Inevitable Success Paradigm Based on Trait Locking and Logical Chain Deduction | 预判-调控双驱博弈论:基于特质锁定与逻辑链推演的必然成功范式

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Authors: Relike Zhou
Cited by: 0
References: 3

Abstract

Abstract(EN):Traditional game theory has long been constrained by the assumptions of incomplete information, the trap of strategic equivalence, and the dilemma of probabilistic outcomes. Focusing on "passively adapting to opponents' strategies to seek equilibrium", it struggles to meet the practical demand for "inevitable success" in complex high-value scenarios.This paper proposes a novel "Prediction-Regulation Dual-Drive Game Theory (PRDGT)", which is underpinned by the author’s proposed "trait-locking prediction methodology" and "three-dimensional logical chain deduction paradigm". It constructs a five-stage theoretical framework of "core trait identification—three-dimensional logical chain construction—hierarchical release of excess value chips—prediction-regulation closed loop", realizing the game dimension upgrade from "adapting to rules" to "dominating rules".The core breakthroughs and distinctive advantages of this theory are as follows: First, it features a prominent practical orientation, centered on "real-time judgment and strategic regulation in dynamic interaction", abandoning the pure theoretical deduction of traditional theories and emphasizing practical operability. Second, it has significant cross-industry application value, adapting to various complex high-value scenarios such as high-end further study, core financing, and technical cooperation. Third, it has a clear unique outcome—under the fulfillment of core premises (e.g., the game object is a result-oriented rational decision-maker, and the initiator possesses excess value chips), it can achieve a 100% inevitable success outcome, completely breaking away from the probabilistic judgment dilemma of traditional game theory.By breaking through information barriers through trait locking, achieving decision penetration via the three-dimensional logical chain, and breaking strategic equivalence relying on "accurately fitting + irreplaceable" excess value chips, PRDGT ultimately transforms the game outcome from "high-probability success" to "100% inevitable success" through dynamic closed-loop regulation. To consolidate the academic foundation, this paper systematically combs through classic and cutting-edge theories such as Nash equilibrium, evolutionary game theory, and value-oriented negotiation, clarifying the innovative boundaries and academic contributions of PRDGT through multi-dimensional comparisons.Based on the author’s real game case of applying for a doctoral program by exception in the interdisciplinary field of game theory and dynamic systems (with a focus on transportation system prediction) with Professor Situ’s team at a university in Hong Kong (with a non-double first-class undergraduate (i.e., undergraduate from non-top-tier universities in China) background), this paper adopts a triple verification method of "qualitative review + quantitative verification + reverse validation" to comprehensively verify the effectiveness, operability, and universality of the theory. The unsuccessful case reversely confirms that "the game object being a result-oriented rational decision-maker" is a core premise for the theory to achieve inevitable success, and this premise needs to be dynamically identified during the game process, highlighting the dynamic nature and boundary constraints of the theory.For academic cooperation or priority communication rights, please contact relike.zhou@outlook.com. Serious inquiries only with dedicated research funding.摘要(CN):传统博弈论长期受限于信息不完全假设、策略对等性陷阱与结果概率性困境,核心聚焦“被动适配对手策略以寻求均衡”,难以满足复杂高价值场景下“必然成功”的实践诉求。本文提出一种全新的“预判-调控双驱博弈论(Prediction-Regulation Dual-Drive Game Theory, PRDGT)”,以作者提出的“特质锁定预判方法论”与“三维逻辑链推演范式”为底层支撑,构建“核心特质识别—三维逻辑链构建—分层超额价值筹码释放—预判-调控闭环”的五阶段理论框架,实现从“适应规则”到“主导规则”的博弈升维。该理论的核心突破与特色优势在于:其一,实战导向鲜明,以“动态互动中的实时研判与策略调控”为核心,摒弃传统理论的纯理论推演,强调落地实操性;其二,全行业应用价值显著,适配高端升学、核心融资、技术合作等多类复杂高价值场景;其三,结果唯一性明确,在满足核心前提(博弈对象为成果导向的理性决策方、具备超额价值筹码等)的条件下,可实现100%必然成功的唯一性结果,彻底摆脱传统博弈论的概率性判定困境。通过特质锁定突破信息壁垒,借助三维逻辑链实现决策穿透,依托“精准契合+不可替代”的超额价值筹码打破策略对等性,最终通过动态闭环调控将博弈结果从“高概率成功”转化为“100%必然成功”。为夯实学术根基,本文系统梳理纳什均衡、演化博弈论、价值导向谈判等经典与前沿理论,通过多维度对比明确PRDGT的创新边界与学术贡献。基于作者双非本科背景破格申请香港某大学博弈论与动态系统交叉领域司徒教授团队博士的真实博弈案例(案例最终未成功,核心原因在于博弈对象非成果导向,行政约束替代学术价值评估),采用“定性复盘+量化验证+反向验证”的三重论证方式,全面验证理论的有效性、实操性与普适性——未成功案例反向佐证了“博弈对象为成果导向的理性决策方”是理论实现必然成功的核心前提,且该前提需在博弈过程中动态识别,凸显了理论的动态属性与边界约束。如需学术合作,请联系relike.zhou@outlook.com。非实质性支持类沟通,免开尊口。

Fields of Study & Subjects

Game Theory and Applications Evolutionary Game Theory and Cooperation Game Theory and Voting Systems

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Document type
Preprint