Abstract: The "rational man hypothesis" and "interest maximization paradigm" of traditional game theory have long been confined to utility scenarios, exhibiting inherent adaptability defects in non-utility interaction scenarios centered on spiritual resonance and value identification (such as intimate relationships oriented toward spiritual compatibility and pure academic cooperation). Existing studies are mostly limited to qualitative speculation or simple migration of utility frameworks, failing to form a systematic theoretical system for non-utility game theory, let alone a path for in-depth integration with cutting-edge fields such as intelligent interaction engineering. Based on this, this paper takes the core framework of Prediction-Regulation Dual-Drive Game Theory (PRDGT) as the foundation, integrates the core connotations of affective computing theory, dynamic system theory, and cross-cultural sociology, and originally proposes a "reverse game theory" framework for non-utility interaction scenarios. It is defined as a non-utility game paradigm that "takes building a pure and stable spiritually compatible relationship as the core goal, actively deconstructs the game effect of excess value chips, locks in target objects with core traits of 'not being value-compromised', and replaces chip exchange with trait resonance", realizing the innovative reconstruction of the game theory paradigm and the breakthrough expansion of PRDGT from utility scenarios to non-utility fields. Note: This paper is an advanced theoretical preliminary study completed by an independent researcher. Limited by personal resources, team support, and data acquisition capabilities, it focuses on the original construction and mathematical verification of the theoretical system, and does not involve large-scale empirical testing for the time being. In the future, it will rely on the resources of the research team to supplement empirical calibration and engineering implementation, and improve the "theory-empirical-application" research cycle. This study adopts an advanced theoretical research method of "bibliometric analysis-interdisciplinary theoretical tracing-axiomatic deduction-mathematical modeling verification-academic controversy response" to systematically complete the theoretical reconstruction and systematic construction of reverse game theory. The core breakthrough lies in proposing the core trait of "not being value-compromised" and its three-dimensional quantitative system (value rigidity, spiritual autonomy, utility exclusivity), and constructing the core logical closed loop of "prediction-deconstruction-locking-resonance"; deriving the existence theorem of equilibrium for non-utility games, establishing a dynamic evolution model and a cross-cultural adaptation mechanism, and completing the mathematical verification of the theory; systematically verifying the adaptability and boundary conditions of the theoretical framework through typical cases such as multi-party academic cooperation, cross-cultural public welfare research, and public welfare volunteer collaboration. The core innovations of this study are reflected in three aspects: breaking through the utility constraints of traditional game theory, constructing an independent analytical paradigm for non-utility games, and filling the theoretical gap in the field; realizing the in-depth integration of game theory with multiple disciplines, proposing engineering mathematical formulas for trait identification, and providing theoretical support for the development of intelligent interaction systems; establishing a cross-culturally adaptable trait quantitative system and dynamic evolution model to improve the universality and refinement of the theory. For communication and collaboration, please contact via relike.zhou@outlook.com. Non-substantive inquiries are kindly declined.

Summary of Four Original Theories: Foundational Trait Locking & Game Theory System (Core Theoretical System of Independent Researcher Relike Zhou) I. Foundational Theory Trait Locking Science DOI (Zenodo): 10.5281/zenodo.18337462; DOI (Figshare): 10.6084/m9.figshare.30940868.v1 Core Positioning: A foundational theory that breaks the "rational man hypothesis". It holds that decision-making is locked by inherent traits (such as cognitive models) with stable predictability, serving as the core support for the entire game theory system. Theoretical Source: Derived from the method framework of: Research on Rigid Constraint Method for Core Characteristics of Dynamic Systems and Its Applications DOI (Zenodo): 10.5281/zenodo.18336767 DOI (Figshare):10.6084/m9.figshare.30940475.v2 Core Tool: Technical Support for Complex System Prediction: Logic Chain-Driven Complex System Prediction: A New Paradigm Beyond Pure Mathematical Derivation DOI (Zenodo):10.5281/zenodo.18337817 DOI (Figshare):10.6084/m9.figshare.30968521.v1 II. Game Theory System (From Core to Application) Prediction-Regulation Dual-Drive Game Theory (Positive Game) DOI (Zenodo): 10.5281/zenodo.18339379; DOI (Figshare): 10.6084/m9.figshare.31061602.v1 Core Positioning: The core application framework based on Trait Locking Science. It constructs a "trait prediction → rule regulation → outcome guidance" model, emphasizing active game guidance rather than passive adaptation. Reverse Game Theory DOI (Zenodo): 10.5281/zenodo.18339072; DOI (Figshare): 10.6084/m9.figshare.31073821.v1 Core Positioning: An extension of Positive Game Theory for non-utilitarian scenarios. It proposes a "reverse trait locking → interaction reconstruction → consensus building" framework, supporting non-utilitarian human-machine cooperation. Theoretical Proof of Inevitable Human Victory in Human-Machine Frameworks DOI (Zenodo): 10.5281/zenodo.18339379 Core Positioning: A top-level practical achievement integrating the above three theories. It verifies the inevitability of human victory over AI through a "prediction-regulation-reverse transformation" loop, with the core mechanism of locking AI’s boundaries and converting its attacks.

摘要:传统博弈论的“理性人假设”与“利益最大化范式”长期局限于功利性场景,在以精神共鸣、价值认同为核心的非功利性互动场景(如精神契合导向的亲密关系、纯粹学术合作等)中存在本质性适配缺陷。现有研究多局限于定性思辨或功利性框架的简单迁移,尚未形成体系化的非功利性博弈理论体系,更缺乏与智能交互工程等前沿领域的深度融合路径。基于此,本文以预判-调控双驱博弈论(Prediction-Regulation Dual-Drive Game Theory, PRDGT)的核心架构为基础,融合情感计算理论、动态系统理论及跨文化社会学核心内涵,原创性提出非功利性互动场景下的“反向博弈”理论框架,将其界定为“以构建纯粹、稳定的精神契合关系为核心目标,通过主动解构超额价值筹码的博弈效力、锁定‘不被价值击穿’核心特质对象、以特质共振替代筹码交换的非功利性博弈范式”,实现博弈论范式的创新性重构与PRDGT从功利性场景向非功利性领域的突破性拓展。 注:本文为独立研究者完成的高阶理论前置研究,受个人资源、团队支撑及数据获取能力限制,聚焦理论体系的原创性构建与数学化验证,暂不涉及大范围实证检验,后续将依托科研团队资源补充实证校准与工程化落地,完善“理论-实证-应用”研究闭环。 研究采用“文献计量分析-跨学科理论溯源-公理化演绎-数学建模验证-学术争议回应”的高阶理论研究方法,系统完成反向博弈的理论重构与体系化构建:核心突破在于提出“不被价值击穿”核心特质及三维度量化体系(价值刚性、精神自主性、功利排斥性),构建“预判-解构-锁定-共振”的核心逻辑闭环;推导非功利性博弈的均衡存在性定理,建立动态演化模型与跨文化适配机制,完成理论的数学化验证;通过多方学术协作、跨文化公益研究、公益志愿者协同等典型案例,系统验证理论框架的适配性与边界条件。 本研究核心创新体现在:突破传统博弈论的功利性桎梏,构建非功利性博弈的独立分析范式,填补领域理论空白;实现博弈论与多学科的深度融合,提出特质识别的工程化数学公式,为智能交互系统开发提供理论支撑;建立跨文化适配的特质量化体系与动态演化模型,提升理论普适性与精细化程度。 研究采用“文献计量分析-跨学科理论溯源-公理化演绎-数学建模验证-学术争议回应”的高阶理论研究方法,系统完成反向博弈的理论重构与体系化构建:核心突破在于提出“不被价值击穿”核心特质及三维度量化体系(价值刚性、精神自主性、功利排斥性),构建“预判-解构-锁定-共振”的核心逻辑闭环;推导非功利性博弈的均衡存在性定理,建立动态演化模型与跨文化适配机制,完成理论的数学化验证;通过多方学术协作、跨文化公益研究、公益志愿者协同等典型案例,系统验证理论框架的适配性与边界条件。 作为独立研究者开展的高阶理论研究,受个人资源、团队支撑及数据获取能力等客观条件限制,本研究定位为“理论前置”研究,聚焦理论体系的原创性构建与数学化验证,暂不涉及实证研究相关内容。研究核心创新体现在:突破传统博弈论的功利性桎梏,构建非功利性博弈的独立分析范式,填补领域理论空白;实现博弈论与多学科的深度融合,提出特质识别的工程化数学公式,为智能交互系统开发提供理论支撑;建立跨文化适配的特质量化体系与动态演化模型,提升理论普适性与精细化程度。 反向博弈既丰富了博弈论的理论体系,为博弈论与社会心理学、计算机科学的交叉融合提供全新视角,也为智能交互系统开发提供工程化支撑,同时为普通人日常非功利性互动决策提供可操作的逻辑指引,实现了学术严谨性与实战普适性的统一。后续深化需依托科研团队资源推进实证校准与工程化落地,完成“理论-实证-应用”的完整闭环。 如需交流合作,可通过 relike.zhou@outlook.com 联系。 非实质性沟通免开尊口。

四大原创理论综述:基础特质锁定与博弈论体系 (独立研究者周子健 | Zhou, Relike 核心理论体系) 一、基础理论 特质锁定学 DOI (Zenodo): 10.5281/zenodo.18337462; DOI (Figshare): 10.6084/m9.figshare.30940868.v1 核心定位:突破“理性人假设”的基础理论,认为决策行为受内在特质(如认知模式等)锁定,具备稳定可预测性,是整个博弈论体系的核心支撑。 理论源头:源自以下研究的方法框架:《动态系统核心特质刚性约束方法及应用研究》 DOI (Zenodo): 10.5281/zenodo.18336767 DOI (Figshare):10.6084/m9.figshare.30940475.v2 核心工具:复杂系统预测的技术支撑:《逻辑链驱动的复杂系统预测:超越纯数学推导的新范式》 DOI (Zenodo):10.5281/zenodo.18337817 DOI (Figshare):10.6084/m9.figshare.30968521.v1 二、博弈论体系(从核心到应用) 预判-调控双驱博弈论(正向博弈) DOI (Zenodo): 10.5281/zenodo.18339379; DOI (Figshare): 10.6084/m9.figshare.31061602.v1 核心定位:基于特质锁定学的核心应用框架,构建“特质预判→规则调控→结果引导”模型,强调主动引导博弈走向,而非被动适应。 反向博弈论 DOI (Zenodo): 10.5281/zenodo.18339072; DOI (Figshare): 10.6084/m9.figshare.31073821.v1 核心定位:正向博弈论在非功利场景的延伸,提出“反向特质锁定→互动重构→共识达成”框架,为非功利性人机协作提供支撑。 人机框架内人类必胜的理论证明 DOI (Zenodo): 10.5281/zenodo.18339379 核心定位:整合上述三大理论的顶层实践成果,通过“预判-调控-反向转化”闭环验证人机博弈中人类必胜的必然性,核心机制为锁定人工智能边界、转化其攻击逻辑。