ArticleEntropy (Basel, Switzerland)2020
Emergence of Organisms.
Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- The Reasonable Ineffectiveness of Mathematics in the Biological Sciences.Entropy (Basel, Switzerland) · 2025Article
- Metasensor: A Proposal for Sensor Evolution in Robotics.Sensors (Basel, Switzerland) · 2025Article
- Motile Living Biobots Self-Construct from Adult Human Somatic Progenitor Seed Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Chemical Systems for Wetware Artificial Life: Selected Perspectives in Synthetic Cell Research.International journal of molecular sciences · 2023Article
- Informational Resilience in the Human Cognitive Ecology.Entropy (Basel, Switzerland) · 2023Article
- The scaling of goals from cellular to anatomical homeostasis: an evolutionary simulation, experiment and analysis.Interface focus · 2023Article
- Recurrent neural networks in synthetic cells: a route to autonomous molecular agents?Frontiers in bioengineering and biotechnology · 2023Article
- More Thumbs Than Rules: Is Rationality an Exaptation?Frontiers in psychology · 2022Article
- The World Is Not a Theorem.Entropy (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.