研究开放演化系统中知识的使用与获取机制，揭示认知的局部性与多样性。
The use of knowledge in open-ended systems
- 构建开放演化系统的知识使用与获取模型
- 发现观察者可'同意地分歧'，理论能力受自身视角限制
- 解释非逻辑思维（如制度、审美）为何在演化系统中自然出现
经济学家将知识的使用与获取建模为因果推演过程，即决策者基于对世界的观测推断潜在原因。现有知识模型适用于静态环境，但难以应对创新与无限变化的情境。本文提出一种开放式演化系统中的知识使用与获取表示框架，并展示其核心结果：嵌入此类系统的观察者可能达成‘同意地分歧’；其理论建构能力本质上是局部的，受限于自身的参照框架，这一现象称为‘框架相对性’。该框架形式化了局部知识的运用，支持随时间演化的‘多重自我’推理观，并解释了制度性与审美性等非逻辑推理模式的涌现机制。
原文摘要 · Abstract (English)
Economists model knowledge use and acquisition as a cause-and-effect calculus associating observations made by a decision-maker about their world with possible underlying causes. Knowledge models are well-established for static contexts, but not for contexts of innovative and unbounded change. We develop a representation of knowledge use and acquisition in open-ended evolutionary systems and demonstrate its primary results, including that observers embedded in open-ended evolutionary systems can agree to disagree and that their ability to theorize about their systems is fundamentally local and constrained to their frame of reference what we call frame relativity. The results of our framework formalize local knowledge use, the many-selves interpretation of reasoning through time, and motivate the emergence of nonlogical modes of reasoning like institutional and aesthetic codes.
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