Article
Version 1
Preserved in Portico This version is not peer-reviewed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)
How to cite: Gershenson, C. Complexity, Artificial Life, and Artificial Intelligence. Preprints 2024, 2024041826. https://doi.org/10.20944/preprints202404.1826.v1 Gershenson, C. Complexity, Artificial Life, and Artificial Intelligence. Preprints 2024, 2024041826. https://doi.org/10.20944/preprints202404.1826.v1
Abstract
The scientific fields of complexity, artificial life (ALife), and artificial intelligence (A.I.) share several commonalities: historic, conceptual, methodological, and philosophical. It was possible to develop them only because of information technology, while their origins can be traced back to cybernetics. In this perspective, I'll revise 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. The paper poses more questions than answers, but hopefully it will be useful to align efforts in these fields towards 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.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment
