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Defining life: synthesis and conclusions
1Institut d'Histoire et de Philosophie des Sciences et des Techniques, Université Paris 1-Panthéon Sorbonne, Université Paris 1/CNRS/ENS, 13 rue du Four, 75006 Paris, France. gayon@noos.fr
Summary
Defining life remains an intuitive process, challenging to capture in a strict definition. This paper explores philosophical and scientific perspectives on defining life, distinguishing between lexical and stipulative definitions.
Area of Science:
- Philosophy of Science
- Astrobiology
- Origin of Life Studies
Background:
- The concept of 'life' is primarily recognized intuitively by both scientists and laypeople.
- Traditional philosophical definitions (animation, mechanism, organization) influence contemporary thought on life.
- Distinguishing between lexical and stipulative definitions is crucial for scientific and philosophical discourse.
Purpose of the Study:
- To explore the philosophical challenges and historical perspectives in defining life.
- To synthesize major debates on the necessity and nature of life definitions.
- To examine the relationship between defining life and understanding its origins.
Main Methods:
- Philosophical analysis of historical and contemporary definitions of life.
- Distinction between intuitive recognition, lexical definitions, and stipulative definitions.
- Synthesis of debates on defining life, including criteria for self-maintenance, evolution, and reproduction.
Main Results:
- Recognition of life is intuitive, but a universally accepted strict definition remains elusive.
- Skepticism exists regarding a strong definition of life, yet criteria are valuable in specific contexts (e.g., exobiology).
- Proposed definitions often include self-maintenance and evolution, though some emphasize a 'psychic' view.
Conclusions:
- While a definitive 'life' definition is debated, conceptual frameworks are essential for scientific inquiry.
- The understanding of life's origins is closely intertwined with how life itself is defined.
- Context-specific criteria for life are crucial for fields like artificial life and astrobiology.
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