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The theoretical foundations of enaction: Precariousness
Randall D Beer1, Ezequiel A Di Paolo2
1Cognitive Science Program, Luddy School of Informatics, Computing and Engineering, Indiana University, USA.
Enaction theory explores cognitive systems, analyzing three types of precariousness: systemic, processual, and thermodynamic fragility. A Game of Life model illustrates how these fragilities relate to system definition and emergent properties.
Area of Science:
- Cognitive Science
- Philosophy of Mind
- Theoretical Biology
Background:
- Enaction theory, rooted in autopoiesis and the biology of cognition, offers a novel perspective on understanding living systems and cognition.
- A rigorous theoretical foundation is crucial for the advancement of enaction as a scientific discipline.
- Precariousness is a central concept within enaction, requiring detailed examination.
Purpose of the Study:
- To conduct a theoretical analysis of precariousness within the enactive approach to cognition.
- To delineate and differentiate three distinct types of fragility: systemic, processual, and thermodynamic.
- To explore the interrelationships between these types of fragility in cognitive systems.
Main Methods:
- Conceptual analysis of the theoretical underpinnings of enaction.
- Utilizing a glider in Conway's Game of Life as a simplified model system.
- Illustrating and examining systemic, processual, and thermodynamic fragility within the chosen model.
Main Results:
- The study identifies and distinguishes between systemic, processual, and thermodynamic fragility.
- The Game of Life glider model effectively demonstrates these different forms of fragility.
- Relationships between the types of fragility and their dependence on system definition versus emergence are examined.
Conclusions:
- Precariousness in enaction is characterized by the balance between hardwired system properties and emergent behaviors.
- Ongoing maintenance is essential for emergent aspects of a system to avoid disintegration.
- This analysis provides a foundational understanding for further research into the dynamics of enactive systems.
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