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Open AccessPerspective

Emergence of Organisms

1
Department of Computer Science and Engineering, Alma Mater Studiorum Università di Bologna, Campus of Cesena, I-47522 Cesena, Italy
2
European Centre for Living Technology, I-30123 Venezia, Italy
3
Institute for Systems Biology, Seattle, WA 98109, USA
*
Author to whom correspondence should be addressed.
Entropy 2020, 22(10), 1163; https://doi.org/10.3390/e22101163
Received: 27 September 2020 / Revised: 3 October 2020 / Accepted: 12 October 2020 / Published: 16 October 2020
(This article belongs to the Special Issue New Advances in Biocomplexity)
Since early cybernetics studies by Wiener, Pask, and Ashby, the properties of living systems are subject to deep investigations. The goals of this endeavour are both understanding and building: abstract models and general principles are sought for describing organisms, their dynamics and their ability to produce adaptive behavior. This research has achieved prominent results in fields such as artificial intelligence and artificial life. For example, today we have robots capable of exploring hostile environments with high level of self-sufficiency, planning capabilities and able to learn. Nevertheless, the discrepancy between the emergence and evolution of life and artificial systems is still huge. In this paper, we identify the fundamental elements that characterize the evolution of the biosphere and open-ended evolution, and we illustrate their implications for the evolution of artificial systems. Subsequently, we discuss the most relevant issues and questions that this viewpoint poses both for biological and artificial systems. View Full-Text
Keywords: emergence; evolution; critical dynamics; cybernetics; information; biosemiotics; constraint closure; Kantian whole; affordance; entailing laws; consciousness emergence; evolution; critical dynamics; cybernetics; information; biosemiotics; constraint closure; Kantian whole; affordance; entailing laws; consciousness
MDPI and ACS Style

Roli, A.; Kauffman, S.A. Emergence of Organisms. Entropy 2020, 22, 1163.

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