Version 1
: Received: 29 October 2024 / Approved: 31 October 2024 / Online: 31 October 2024 (10:58:17 CET)
How to cite:
Tharib, S. Blurring the Boundaries: Exploring the Classification of Artificial Life in Robotics and AI. Preprints2024, 2024102530. https://doi.org/10.20944/preprints202410.2530.v1
Tharib, S. Blurring the Boundaries: Exploring the Classification of Artificial Life in Robotics and AI. Preprints 2024, 2024102530. https://doi.org/10.20944/preprints202410.2530.v1
Tharib, S. Blurring the Boundaries: Exploring the Classification of Artificial Life in Robotics and AI. Preprints2024, 2024102530. https://doi.org/10.20944/preprints202410.2530.v1
APA Style
Tharib, S. (2024). Blurring the Boundaries: Exploring the Classification of Artificial Life in Robotics and AI. Preprints. https://doi.org/10.20944/preprints202410.2530.v1
Chicago/Turabian Style
Tharib, S. 2024 "Blurring the Boundaries: Exploring the Classification of Artificial Life in Robotics and AI" Preprints. https://doi.org/10.20944/preprints202410.2530.v1
Abstract
The convergence of artificial intelligence, robotics, and gaming has sparked critical discussions about the nature of life and the potential for artificial systems to replicate biological traits. This paper examines the defining characteristics of life—such as growth, reproduction, regulation, and sensitivity—and applies these criteria to AI-driven game entities and autonomous robots. By reviewing advancements in AI and robotics from 2015 to 2023, and grounding the analysis in biological theories, this study explores whether these artificial systems can be considered "alive" or if they are merely sophisticated simulations. The findings suggest that while artificial systems can mimic life-like behaviours, they lack essential biological traits, such as metabolism and autonomous reproduction. However, human tendencies to anthropomorphise these systems raise ethical and philosophical questions about the boundaries of life and the need for new frameworks to address the evolving role of artificial intelligence and robotics. This paper concludes by proposing directions for future research on the ethical, social, and technical implications of artificial life.
Keywords
artificial life; robotics; artificial intelligence; gaming; autonomous systems; evolution; bio-hybrid robots; human-robot interaction; ethics in AI
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.
