The Phenomenon of Life

Related work— refs + corpus + external arXiv

Cited / in-corpus / arXiv badges show which signals surfaced each row. Multi-source rows weighted higher.

• The Origin of Life in the Light of Evolution

  Tom A. Williams, Laura Eme, Johann Peter Gogarten, Patricia Sanchez-Baracaldo, Anja Spang, Frank O. Aylward, Michael Travisano, Paula V. Welander, Julie A. Huber, Vaughn S. Cooper, Paul E. Turner, Timothy W. Lyons, Andrew D. Ellington, Shelley D. Copley, Eugene V. Koonin, Michael Lynch Bet\"ul Ka\c{c}ar

  2026
  ≈ 68%
• What Lives? A meta-analysis of diverse opinions on the definition of life

  Karina Kofman, Blaise Ag\"uera y Arcas, and Michael Levin Reed Bender

  2025
  ≈ 66%
• Hybrid Life: Integrating Biological, Artificial, and Cognitive Systems

  Hiroyuki Iizuka, Olaf Witkowski, Lana Sinapayen, Keisuke Suzuki Manuel Baltieri

  2023
  ≈ 66%
• On the evolution of phenomenal consciousness

  LTCI), Tiziana Zalla (CREA) Jean-Louis Dessalles (INFRES

  2011
  ≈ 66%
• General Mechanism of Evolution Shared by Proteins and Words

  Hsing-Yi Lai, Sun-Ting Tsai, Chen Siang Ng, Kevin Sheng-Kai Ma, Shan-Jyun Wu, Meng-Xue Tsai, Yi-Ching Su, Daw-Wei Wang, and Tzay-Ming Hong Li-Min Wang

  2026
  ≈ 65%
• Theory of Morphogenesis

  Nadya Morozova, Robert Penner and Christophe Soule Andrey Minarsky

  2018
  ≈ 64%
• A Relativistic Theory of Consciousness (shortened version)

  Zachariah A. Neemeh Nir Lahav

  2025
  ≈ 64%
• Structure & Quality: Conceptual and Formal Foundations for the Mind-Body Problem

  Ryan Williams

  2025
  ≈ 64%
• Consciousness: Here, There but Not Everywhere

  and Christof Koch Giulio Tononi

  2023
  ≈ 64%
• The principles of adaptation in organisms and machines I: machine learning, information theory, and thermodynamics

  Hideaki Shimazaki

  2019
  ≈ 63%
• Embodied Consciousness Theory

  Jahan N. Schad

  2022
  ≈ 63%
• On the Implicit and on the Artificial - Morphogenesis and Emergent Aesthetics in Autonomous Collective Systems

  Vitorino Ramos

  2007
  ≈ 63%
• Diagnosing AI Explanation Methods with Folk Concepts of Behavior

  Jasmijn Bastings, Sebastian Gehrmann, Yoav Goldberg, Katja Filippova Alon Jacovi

  2023
  ≈ 63%
• A macro agent and its actions

  Francesco Massari, Maggie Beheler-Amass and Giulio Tononi Larissa Albantakis

  2020
  ≈ 63%
• A Survey of Theory of Mind in Large Language Models: Evaluations, Representations, and Safety Risks

  Hieu Minh "Jord" Nguyen

  2025
  ≈ 63%
• 2021-11-09_dorian_schrodinger-life.pdf_c3c4f5

  in corpus
  ≈ 62%
• The biogenic approach to cognition

  in corpus

  2005
  ≈ 60%
• Life as we know it

  in corpus

  2013
  ≈ 60%
• The Machine Consciousness Hypothesis

  in corpus
  ≈ 60%
• Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds

  in corpus

  2022
  ≈ 60%
• Living Things Are Not (20th Century) Machines: Updating Mechanism Metaphors in Light of the Modern Science of Machine Behavior

  in corpus

  2021
  ≈ 59%
• 2022-09-23_Prabros._dynamics-in-action-pdf1.pdf_2f6a2b

  in corpus
  ≈ 59%
• The Causally Emergent Alignment Hypothesis: Causal Emergence Aligns with and Predicts Final Reward in Reinforcement Learning Agents

  in corpus

  2026
  ≈ 59%
• Can Being Aware of the Illusion of Self Augment an Agent's Affordances: Integrating Buddhist Philosophy, Cognitive Science, and Artificial Life

  in corpus

  2021
  ≈ 59%
• AI: a Bridge toward Diverse Intelligence and Humanity’s Future

  in corpus

  2024
  ≈ 59%
• Emergence and Causality in Complex Systems: A Survey on Causal Emergence and Related Quantitative Studies

  in corpus

  2023
  ≈ 59%
• Towards a theory of conceptual design for software

  in corpus

  2015
  ≈ 59%
• Identifying indicators of consciousness in AI systems

  in corpus

  2025
  ≈ 58%
• Sustainability and Morphogenesis: The Birth of a Living World

  in corpus

  2004
  ≈ 58%
• Collective intelligence: A unifying concept for integrating biology across scales and substrates

  in corpus

  2024
  ≈ 58%

Similar preprints — Semantic Scholar

Cited by (1)

• Harmony-Seeking Computations: a Science of Non-Classical Dynamics based on the Progressive Evolution of the Larger Whole

  Harmony-seeking computation, introduced by Christopher Alexander as a value-oriented, whole-seeking alternative to algorithmic computation, operates through structure-preserving (SP) transformations t