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Artificial Life. Biologically-inspired algorithms

100%
Komosiński M.
Nauka
|
2008
|
issue 4
EN
This article presents Artificial Life, an interdisciplinary field of study that helps understand life on Earth (life as we know it) and other, possible kinds of life (as it could be). Artificial Life research builds models of life and synthesizes related phenomena and processes in all currently available media – software, hardware and wetware. The first part of this work focuses on Artificial Life as a research field. In the second part, three exemplary computer science algorithms are shown that are inspired by biological processes. These are evolutionary and coevolutionary algorithms, swarm intelligence and ant algorithms, and artificial immune systems. The final part of this work provides a number of reflections on the goals of Artificial Life research, human nature and limitations, and our problems with evaluating complex outcomes of digital life experimentation.
2

Spontaneous Order, Edge of Chaos and Artificial Life as Missing Ideas in Understanding Life

86%
Gecow A.
Dialogue and Universalism
|
2014
|
issue 2
63-80
EN
The hypothesis “life on the edge of chaos” results from the stability of RBN, but living objects are not random; their structure and function are selected just for stability by Darwinian natural selection. The order of a crystal emerges spontaneously. The networks modeling living objects can be simultaneously ordered and chaotic on a similar level. They use chaotic parameters of RBNs. It is another edge of chaos. Definitions of artifacts are subjective and imprecise; problem should be described in other perspective. Basic properties of natural life (including the role of purpose) result from its spontaneity, which suggests a limit of using artificial life in investigations of life.
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