Article
Version 2
This version is not peer-reviewed
Complexity, Artificial Life, and Artificial Intelligence
Version 1
: Received: 26 April 2024 / Approved: 28 April 2024 / Online: 28 April 2024 (07:11:53 CEST)
Version 2 : Received: 15 July 2024 / Approved: 16 July 2024 / Online: 16 July 2024 (08:05:44 CEST)
Version 2 : Received: 15 July 2024 / Approved: 16 July 2024 / Online: 16 July 2024 (08:05:44 CEST)
How to cite: Gershenson, C. Complexity, Artificial Life, and Artificial Intelligence. Preprints 2024, 2024041826. https://doi.org/10.20944/preprints202404.1826.v2 Gershenson, C. Complexity, Artificial Life, and Artificial Intelligence. Preprints 2024, 2024041826. https://doi.org/10.20944/preprints202404.1826.v2
Abstract
The scientific fields of complexity, artificial life (ALife), and artificial intelligence (A.I.) share commonalities: historic, conceptual, methodological, and philosophical. Although their origins trace back to the 1940s birth of cybernetics, they were only able to properly develop as modern information technology became available. In this perspective, I offer a personal (and thus biased) account of the expectations and limitations of these fields, some of which have their roots in the limits of formal systems. I will use interactions, self-organization, emergence, and balance to compare different aspects of complexity, ALife, and A.I. Even when the trajectory of the paper is influenced by my personal experience, the general questions posed (which outweigh the answers) hopefully will be useful to align efforts in these fields toward overcoming --- or accepting --- their limits.
Keywords
complexity; emergence; self-organization; balance
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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