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What is Artificial Life (ALife)

Chapter 14
Handbook of Research on Autopoiesis and Self-Sustaining Processes for Organizational Success
Machine which present capacities similar to the living organisms.
Published in Chapter:
Computational Foundations of the Anticipatory Artificial Autopoietic Cellular Automata
Daniel M. Dubois (University of Liege, Belgium) and Stig C. Holmberg (C8labs, Sweden)
Copyright: © 2021 |Pages: 19
DOI: 10.4018/978-1-7998-6713-5.ch014
Abstract
A survey of the Varela automata of autopoiesis is presented. The computation of the Varela program, with initial conditions given by a living cell, is not able to self-maintain the membrane of the living cell. In this chapter, the concept of anticipatory artificial autopoiesis (AAA) is introduced. In this chapter, the authors present a new algorithm of the anticipatory artificial autopoiesis, which extend the Varela automata. The main enhancement consists in defining an asymmetric membrane of the artificial lining cell. The simulations show the anticipatory generation of artificial living cells starting with any initial conditions. The new concept of anticipatory artificial autopoiesis is related to artificial life (Alife) and artificial intelligence (AI). This is a breakthrough in the computational foundation of autopoiesis.
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Chapter 20
Artificial Life Optimization Algorithm and Applications
The study of man-made systems that exhibit behavior characteristics of natural living systems. A field of study and an associated art form which examine systems related to life, its processes, and its evolution through simulations. ALife is the name given to a new discipline that studies “natural” life by attempting to recreate biological phenomena from scratch within computers and other “artificial” media. ALife complements the traditional analytic approach of traditional biology with a synthetic approach in which, rather than studying biological phenomena by taking apart living organisms to see how they work, one attempts to put together systems that behave like living organisms (Chris G. Langton).
Published in Chapter: Artificial Life Optimization Algorithm and Applications; From: Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies
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