A systemic approach for modeling biological evolution using Parallel DEVS

Area of Science:

• Evolutionary Biology
• Systems Biology
• Computational Biology

Background:

• Modern evolutionary biology faces ongoing controversies and open discussions.
• Existing models may not fully capture the systemic complexity of evolutionary processes.

Purpose of the Study:

• To propose a new, non-neodarwinian systemic model for studying the evolution of living organisms.
• To introduce EvoDEVS, a simplified and computationally implemented version of the proposed model.
• To provide a platform for simulating and analyzing evolutionary scenarios.

Main Methods:

• Development of a non-neodarwinian systemic model for evolutionary biology.
• Mathematical description using the Parallel Discrete Event System Specification (DEVS) formalism.
• Implementation of the model as a computer program using the DEVSLib Modelica library.
• Validation through two preliminary case studies and computer simulations.

Main Results:

• The proposed model provides a framework for exploring evolutionary dynamics from a systemic perspective.
• EvoDEVS successfully illustrates model behavior and validates its results through case studies.
• The computational platform allows for the study of diverse evolutionary conditions and scenarios.

Conclusions:

• The EvoDEVS model offers a valuable tool for investigating evolutionary biology, particularly for addressing complex, systemic questions.
• The non-neodarwinian systemic approach provides a complementary perspective to current evolutionary frameworks.
• The availability of EvoDEVS facilitates further research and simulation-based exploration in evolutionary studies.