Key word "replication."

Publications Found: 13 · Show All Abstracts

Baquedano C. & Fabar C. (2017) Modeling Subjects’ Experience While Modeling the Experimental Design: A Mild-Neurophenomenology-Inspired Approach in the Piloting Phase. Constructivist Foundations 12(2): 166–179. Fulltext at http://cepa.info/4070
Bockelman P., Reinerman-Jones L. & Gallagher S. (2013) Methodological lessons in neurophenomenology: Review of a baseline study and recommendations for research approaches. Frontiers in Human Neuroscience 7: 608. Fulltext at http://cepa.info/4058
Briscoe G. & Paolo P. (2010) Towards autopoietic computing. In: Colugnati F. A. B., Lopes L. C. R. & Barretto S. F. A. (eds.) Digital ecosystems. Spinger, New York: 199–212. Fulltext at http://cepa.info/2617
Earley J. E. S. (2000) Varieties of chemical closure: Three kinds of coherence observed in chemical systems, and their relation to societal integration. In: Chandler J. & Van de Vijver G. (eds.) Closure: Emergent organizations and their dynamics. New York Academy of Sciences, New York: 122–131.
Franchi S. (2013) On Models, Simulations, and the Relevancy of Biochemistry to Cognitive Functions. Constructivist Foundations 9(1): 141–142. Fulltext at http://cepa.info/981
Kauffman L. H. (2015) Self-reference, biologic and the structure of reproduction. Progress in Biophysics and Molecular Biology 10(3): 382–409. Fulltext at http://cepa.info/2844
Kauffman S. A. (1971) Cellular homeostasis, epigenesis and replication in randomly aggregated macromolecular systems. Journal of Cybernetics 1(1): 71–96.
Moreno A. (2000) Closure, identity, and the emergence of formal causation. In: Chandler J. & Van de Vijver G. (eds.) Closure: Emergent organizations and their dynamics. New York Academy of Sciences, New York: 112–121.
Moreno A. (2007) A systemic approach to the origin of biological organization. In: Boogerd F. C., Bruggeman F. T. & Hofmeyr Ihs Westerhoff I. W. (eds.) Systems biology: Philosophical foundations. Elsevier, Amsterdam: 243–268.
Pattee H. (1995) Evolving self-reference: Matter, symbols, and semantic closure. Communication & Cognition–Artificial Intelligence 12(1–2): 9–27.
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