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A Practical Guide to Phage- and Robotics-Assisted Near-Continuous Evolution

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Embodied artificial evolution: Artificial evolutionary systems in the 21st Century.

A E Eiben¹, S Kernbach, Evert Haasdijk

¹VU University Amsterdam, Amsterdam, The Netherlands.

Evolutionary Intelligence

|November 13, 2012

Summary

Artificial evolution is moving beyond digital spaces to create physical "Evolution of Things." This paper introduces Embodied Artificial Evolution (EAE), a new field exploring physical evolutionary processes and their potential applications.

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Area of Science:

Evolutionary Computing
Artificial Intelligence
Robotics

Background:

Evolutionary processes have been studied for centuries, transitioning from passive observation to active manipulation in digital environments.
Recent advancements enable the application of evolutionary principles beyond theoretical or purely digital realms.

Purpose of the Study:

To introduce and define the emerging field of Embodied Artificial Evolution (EAE).
To provide a unifying vision for the development of EAE research.
To discuss potential applications, benefits, and challenges of physically embodied artificial evolution.

Main Methods:

Conceptual framework development for Embodied Artificial Evolution.
Exploration of existing and potential applications of EAE.
Analysis of the prospective benefits and significant challenges in the field.

Main Results:

Introduction of the concept of Embodied Artificial Evolution (EAE).
Identification of potential applications and benefits, such as adaptive physical systems.
Elaboration on the critical challenges that need to be addressed for EAE's advancement.

Conclusions:

Embodied Artificial Evolution (EAE) represents a significant future direction, extending evolutionary principles to the physical world.
The field holds substantial potential for creating novel adaptive and evolving physical systems.
Addressing the outlined challenges is crucial for realizing the full potential of EAE.