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Information and entropy in a simple evolution model.

D R Brooks, P H Leblond, D D Cumming

Journal of Theoretical Biology

|July 7, 1984

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This study presents an evolutionary model combining mutation and speciation. The model demonstrates that biological evolution can simultaneously increase both information and entropy over time.

Area of Science:

Evolutionary biology
Theoretical biology
Information theory

Background:

Understanding the relationship between information and entropy in biological systems is crucial.
Previous models often focused on either mutation or speciation, not their interplay.

Purpose of the Study:

To develop and analyze a unified model of evolution incorporating both mutation and speciation.
To investigate the dynamics of information and entropy within evolving populations.

Main Methods:

Development of a computational model simulating evolutionary processes.
Calculation and historical tracking of population information and entropy.
Analysis of model outputs to identify trends in information and entropy.

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Main Results:

The model successfully simulates populations undergoing evolution.
Demonstrated simultaneous increase of information and entropy over time.
Findings align with established principles of physical entropy and biological evolution.

Conclusions:

A unified model of evolution can reconcile information gain with entropy increase.
This framework provides new insights into the fundamental processes driving biological diversity.
The model supports the compatibility of evolutionary trajectories with thermodynamic laws.