This work examines the interconnections between logic, epistemology, and sciences within the Naturalist tradition. It presents a scheme that connects logic, mathematics, physics, chemistry, biology, and cognition, emphasizing scale-invariant, self-organizing dynamics across organizational tiers of nature. The inherent logic of agency exists in natural processes at various levels, under information exchanges. It applies to humans, animals, and artifactual agents. The common human-centric, natural language-based logic is an example of complex logic evolved by living organisms that already appears in the simplest form at the level of basal cognition of unicellular organisms. Thus, cognitive logic stems from the evolution of physical, chemical, and biological logic. In a computing nature framework with a self-organizing agency, innovative computational frameworks grounded in morphological/physical/natural computation can be used to explain the genesis of human-centered logic through the steps of naturalized logical processes at lower levels of organization. The Extended Evolutionary Synthesis of living agents is essential for understanding the emergence of human-level logic and the relationship between logic and information processing/computational epistemology. We conclude that more research is needed to elucidate the details of the mechanisms linking natural phenomena with the logic of agency in nature.

翻译：本文探讨自然主义传统下逻辑、认识论与科学之间的相互联系。提出一个连接逻辑、数学、物理学、化学、生物学与认知的统一框架，强调自然界各组织层级中尺度不变的自组织动力学。在信息交换过程中，自然过程的不同层面均存在固有的能动性逻辑，这一逻辑适用于人类、动物及人工代理。以人类为中心、基于自然语言的常见逻辑，是生物体进化出的复杂逻辑实例——该逻辑最简形式已出现在单细胞生物的基础认知层面。因此，认知逻辑源于物理逻辑、化学逻辑和生物逻辑的演进。在具有自组织能动性的计算自然框架中，基于形态/物理/自然计算的创新计算架构，可通过低层级组织自然化逻辑过程的逐步推演，解释人类中心逻辑的起源。理解人类级逻辑的产生以及逻辑与信息处理/计算认识论之间的关系，关键在于对生命体进行扩展性进化综合。我们得出结论：需开展更多研究以阐明自然现象与自然界能动性逻辑之间机制的细节。