Emergence Reframed

M. Nathan
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Abstract

This chapter presents, motivates, and defends a strategy for characterizing emergence and its role in scientific research, grounded in the analysis of black boxes. Emergents can be characterized as black boxes: placeholders in causal explanations represented in models. The present proposal has the welcome implications of bringing together various usages of emergence across domains, and to reconcile emergence with reduction. Yet, this does come at a cost. It requires abandoning a rigid perspective according to which emergence is an intrinsic or absolute feature of systems, in favor or a more contextual approach that relativizes the emergent status of a property or behavior to a specific explanatory frame of reference.
出现重新包装
本章以黑箱分析为基础,提出、激励并捍卫了一种描述涌现及其在科学研究中的作用的策略。突发事件可以被描述为黑箱:在模型中表示的因果解释中的占位符。目前的建议具有令人欢迎的含义,将涌现的各种用法跨领域结合在一起,并调和涌现与还原。然而,这是有代价的。它要求放弃一种僵化的观点,即突现是系统的内在或绝对特征,而更倾向于一种情境化的方法,即将属性或行为的突现状态相对于特定的解释参考框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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