Software replica of minimal living processes.

Area of Science:

• Theoretical biology
• Artificial life
• Computational biology

Background:

• Analytical mathematics often struggles to model complex biological self-organization.
• Pioneering work by Von Neumann and Turing laid foundations for artificial life.
• Artificial life research prioritizes rule-based mechanisms over material details.

Purpose of the Study:

• To present the history of life from an artificial life perspective.
• To establish a temporal and causal framework for life's emergent processes.
• To analyze the interconnections between essential life processes.

Main Methods:

• Utilizing software simulations to complement analytical approaches.
• Developing experimental software platforms for testing life principles.
• Analyzing rule-based mechanisms in computational models.

Main Results:

• Identified key processes necessary for the emergence of minimal life.
• Demonstrated the interconnectedness of these processes through simulation.
• Highlighted the value of software platforms in understanding life's origins.

Conclusions:

• Software simulations are crucial for understanding complex biological phenomena.
• Artificial life provides a framework for studying life's fundamental principles.
• Existing platforms like chemical reaction networks and cellular automata offer insights into life's emergence.