The Relationship Between Astronomical and Developmental Times Emerging in Modeling the Evolution of Agents

Area of Science:

• Computational evolutionary biology
• Artificial intelligence
• Biophysics

Background:

• Evolutionary models often simplify predator-prey dynamics.
• Understanding the relationship between time, selection, and energy dissipation is crucial.

Purpose of the Study:

• To model prey capture evolution in a computational agent.
• To investigate the emergence of skills through Darwinian evolution.
• To explore the relationship between developmental time and evolutionary processes.

Main Methods:

• A software-emulated Intel i8080 processor was used for simulation.
• Agents were programmed with random initial commands.
• The objective function maximized prey catches, considering energy and time costs.
• Darwinian evolution principles were applied to the agent population.

Main Results:

• Agents evolved successful prey-catching abilities from random initial states.
• A logarithmic relationship emerged between astronomical time and agent developmental time.
• The findings link evolutionary time scales with energy maximization principles.

Conclusions:

• Darwinian evolution can lead to sophisticated behaviors like prey capture in artificial agents.
• The study provides empirical support for theoretical connections between time, selection, and entropy production.
• The model offers insights into the fundamental drivers of evolutionary adaptation.