Complexity and Emergence as Theoretical Frameworks in Life Sciences

Abstract

This study examines complexity and emergence as a cross-disciplinary theoretical framework that connects physics and biology perspectives in understanding life phenomena that cannot be fully explained by mechanistic reductionist approaches. Complexity is understood as a characteristic of systems with multiple components interacting nonlinearly, resulting in unique collective dynamics that cannot be reduced to the properties of their parts. Emergence is positioned as a phenomenon in which macro-level properties emerge from micro-level interactions dynamically, revealing novel properties that cannot be predicted from the basic components alone. Using an interdisciplinary qualitative approach through an integrative literature review, this article synthesizes theoretical perspectives from complex physics, systems biology, and information science to map interdisciplinary theoretical intersections in the study of life. Conceptual analysis shows that the complexity and emergence framework supports a multi-scale understanding of self-organization, non-linear causality, and adaptation of living systems, which goes beyond the limits of traditional reductionism. The results of the synthesis underscore that life as an adaptive complex system requires emergent concepts to explain novel properties that emerge at higher levels of organization. Thus, this article contributes to the development of a holistic life science epistemology, with theoretical and methodological implications for cross-disciplinary research. These findings confirm that complexity and emergence are relevant theoretical frameworks in explaining contemporary life phenomena