探讨后人类智能经济中如何实现公平分配的理论框架
Post-AGI Economies: Superposition and the Second Fundamental Theorem of Welfare Economics
- 提出自治权限定的福利定理，整合道德地位与自我修改约束
- 在非可替代权利与反操纵条件下，确保最优配置可验证地去中心化
- 适用于对意识连续性与自主决策有严格要求的高阶智能系统
经典第二福利定理在凸性与规则性条件下，可通过价格与转移实现任意帕累托最优配置的去中心化。但在后人工智能经济中，自主权、自我修改、身份连续性及叠加偏好未必表现为商品或构成稳定福利关系，因此该还原可能失效，即使存在支持超平面亦然。本文提出一个自治权限定的第二福利定理，明确在凸性、稳定道德地位、不可替代权利、福利选择、抗操纵、受控自我修改与验证等联合条件下，自治帕累托最优仍可被可信地去中心化。同时区分了经济偏好叠加（关于上下文索引选择的假说）与神经特征叠加。
原文摘要 · Abstract (English)
The classical Second Welfare Theorem decentralizes any Pareto efficient allocation through prices and transfers under convexity and regularity. In post AGI economies, autonomy rights, self-modification, identity continuity, and superposed preferences need not behave as commodities or define a stable welfare relation, so this reduction may fail even when a supporting hyperplane exists. We give an autonomy-qualified Second Welfare Theorem stating the joint conditions convexity, stable moral status, non-fungible rights, welfare selection, non manipulation, governed self modification, and verification under which an autonomy Pareto optimum remains certifiably decentralizable, distinguishing economic preference superposition, a hypothesis about context-indexed choice, from neural feature superposition.
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