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Related publications (59)

Allen M. & Friston K. (2018) From cognitivism to autopoiesis: Towards a computational framework for the embodied mind. Synthese 195(6): 2459–2482.

Arnellos A. & Darzentas J. (2007) Exploring Creativity in the Design Process: A Systems-Semiotic Perspective. Cybernetics & Human Knowing 14(1): 37–64.

Bickhard M. H. (2011) Some consequences (and enablings) of process metaphysics. Axiomathes 21: 3–32.

Bunnell P. & Riegler A. (2011) Maturana Across the Disciplines. Constructivist Foundations 6(3): 287–292.

Carta G. & Falzon P. (2018) Co-constructing organizational autopoiesis: The developmental laboratory as a model and means of enabling interventions. In: Bagnara S., Tartaglia R., Albolino S., Alexander T. & Fujita Y. (eds.) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)Springer, Cham: 566–576.

Cheung K. C. (1993) On meaningful measurement: Issues of reliability and validity from a humanistic constructivist information-processing perspective. In: Proceedings of the Third International Seminar on Misconceptions and Educational Strategies in Science and Mathematics. Cornell University, Ithaca, 1–4 August 1993Misconceptions Trust, Ithaca NY: **MISSING PAGES**.

Clark A. (2013) Whatever next? Predictive brains, situated agents, and the future of cognitive science. The Behavioral and Brain Sciences 36(3): 181–204.

Cohen L. B., Chaput H. H. & Cashon C. H. (2002) A constructivist model of infant cognition. Cognitive Development 17: 1323–1343.

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De Jaegher H. & Di Paolo E. (2007) Participatory sense-making: An enactive approach to social cognition. Phenomenology and the Cognitive Sciences 6(4): 485–507.

De Jaegher H. & Di Paolo E. (2007) Participatory sensemaking. Phenomenology and the Cognitive Sciences 6(4): 485–507.

Fabry R. E. (2018) Betwixt and between: The enculturated predictive processing approach to cognition. Synthese 195(6): 2483–2518.

Fischer T. (2008) Obstructed magic: On the myths of observing designing and of sharing design observations. In: Nakpan W., Mahaek E., Teeraparbwong K. & Nilkaew P. (eds.) Proceedings of the 13th CAADRIAPimniyom Press, Chiang Mai: 278–284.

Fischer T. (2011) When is analog? When is digital?. Kybernetes 40(7/8): 1004–1014.

Gallagher S. (2018) Decentering the Brain: Embodied Cognition and the Critique of Neurocentrism and Narrow-Minded Philosophy of Mind. Constructivist Foundations 14(1): 8–21.

Gash H. (2014) Constructing Constructivism. Constructivist Foundations 9(3): 302–310.

Gunstone R. F. & Northfield J. R. (1988) Inservice education: Some constructivist perspectives and examples. Paper presented at the Annual Meeting of the American Educational Research Association, New Orleans, LA, 5–9 April 1988.

Gärtner K. & Clowes R. W. (2017) Enactivism, radical enactivism and predictive processing: What is radical in cognitive science? Kairos. Journal of Philosophy & Science 18(1): 54–83.

Herr C. M. (2019) Constructing cybernetic thinking, Design, and education. In: Fischer T. & Herr C. M. (eds.) Design cybernetics: Navigating the newSpringer, Cham: 153–170.

Hutto D. D. (2018) Getting into predictive processing’s great guessing game: Bootstrap heaven or hell?. Synthese 195(6): 2445–2458.

Jachna T. (2012) Reclaiming The Cyber(netic) City. Cybernetics & Human Knowing 19(3): 67–81.

Kirchhoff M. (2018) Predictive processing, perceiving and imagining: Is to perceive to imagine, or something close to it?. Philosophical Studies 175(3): 751–767.

Kirchhoff M. D. & Robertson I. (2018) Enactivism and predictive processing: A non-representational view. Philosophical Explorations 21(2): 264–281.

Kirchhoff M. D. (2015) Experiential fantasies, prediction, and enactive minds. Journal of Consciousness Studies 22(3–4): 68–92.

Korbak T. (2019) Computational enactivism under the free energy principle. Synthese Online first.

Köppen M. & Ruiz-del-Solar J. (1999) Autopoiesis and image processing: Detection of structure and organization in images. In: Mira J. & Sánchez-Andrés J. V. (eds.) International work-conference on artificial neural networksSpringer, Berlin: 442–451.

Limone A. & Bastias L. E. (2006) Autopoiesis and knowledge in the organization: Conceptual foundation for authentic knowledge management. Systems Research and Behavioral Science 23: 39–49.

Maldonato M. (2009) From neuron to consciousness: For an experience-based neuroscience. World Futures 65(2): 80–93.

Meincke A. S. (2019) Autopoiesis, biological autonomy and the process view of life. European Journal for Philosophy of Science 9(1): 1.

Merrell F. (2009) Musement, Play, Creativity: Nature’s Way. Cybernetics & Human Knowing 16(3–4): 89–106.

Miller M. & Nave K. (2020) Slimes and cyborgs: Stretching the boundaries of life. Adaptive Behavior 28(1): 43–44.

Müller K. H. (2010) The Radical Constructivist Movement and Its Network Formations. Constructivist Foundations 6(1): 31–39.

Nave K. (2021) Visual experience in the predictive brain is univocal, but indeterminate. Phenomenology and the Cognitive Sciences Online first.

Neuman Y. (2001) Existing as “a difference that makes a difference”: on cybernetics, semiotics, and being. Cybernetics & Human Knowing 8(3): 25–34.

Neuman Y. (2003) Turtles all the way down: Outlines for a dynamic theory of epistemology. Systems Research and Behavioral Science. 20: 521–530.

Pace Giannotta A. (2016) Epistemology and ontology of the quality: An introduction to the enactive approach to qualitative ontology. Humana Mente Journal of Philosophical Studies 31: 1–19.

Parini P. (2011) Ernst von Glasersfeld and the Italian Operational School: Didactic Implications of Operational Awareness. Constructivist Foundations 6(2): 140–149.

Perkins D. (1991) Technology meets constructivism: Do they make a marriage?. Educational Technology 31(5): 18–23.

Perotto F. S. (2013) A Computational Constructivist Model as an Anticipatory Learning Mechanism for Coupled Agent–Environment Systems. Constructivist Foundations 9(1): 46–56.

Richards L. D. & Young R. K. (1996) Propositions on cybernetics and social transformation: Implications of von Foerster’s non-trivial machine for knowledge processes. Systems Research 13(3): 363–370.

Richards L. D. (2007) Connecting Radical Constructivism to Social Transformation and Design. Constructivist Foundations 2(2-3): 129–135.

Riegler A. (2007) Superstition in the machine. In: Butz M. V., Sigaud O., Pezzulo G. & Baldassarre G. (eds.) Anticipatory behavior in adaptive learning systems: From brains to individual and social behavior. Lecture Notes in Artificial IntelligenceSpringer, New York: 57–72.

Schmidt S. J. (2010) Radical Constructivism: A Tool, not a Super Theory!. Constructivist Foundations 6(1): 6–11.

Schmidt S. J. (2010) Self-Organisation and Learning Culture. Constructivist Foundations 5(3): 121–129.

Schmidt S. J. (2011) From Objects to Processes: A Proposal to Rewrite Radical Constructivism. Constructivist Foundations 7(1): 1–9 & 37–47.

Schmidt S. J. (2017) Konstruktivistische Argumentationen als Reflexionsangebote für die Medien- und Kommunikationswissenschaften. M&K Medien & Kommunikationswissenschaft 65(2): 207–218.

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Seth A. (2015) Presence, objecthood, and the phenomenology of predictive perception. Cognitive Neuroscience 6(2–3): 111–117.

Sorensen B. & Thellefsen T. (2009) Evolution, the True Scientist, and His Attraction to the Highest Good: The Growth in the Concrete Reasonableness According to Peirce. Cybernetics & Human Knowing 16(1–2): 9–25.

Stadler M. & Kruse P. (2004) Appearance of structure and emergence of meaning in the visual system. In: Carsetti A. (ed.) Seeing, thinking and knowingSpringer, Dordrecht: 293–306.

Steiner P. (2018) Reading and understanding: On some differences between Wittgenstein and 4E cognitive science. RIFL 13(2): 124–137.

Taylor E. (2013) Déjà vu: William James on “The Brain and the Mind,” 1878: A comment on current trends in neurophenomenology defining the application of James’s radical empiricism to psychology. In: Gordon S. (ed.) Neurophenomenology and its applications to psychologySpringer, New York: 89–114.

Urrestarazu H. (2012) Autopoietic Systems: A Generalized Explanatory Approach – Part 3: The Scale of Description Problem. Constructivist Foundations 7(3): 180-195.

Valenzuela-Moguillansky C. & Vásquez-Rosati A. (2019) An Analysis Procedure for the Micro-Phenomenological Interview. Constructivist Foundations 14(2): 123–145.

Varela F. J. (1986) Experimental epistemology: Background and future. Cahiers du Centre de Recherche, Epistemologie et Autonomie (CREA) 9: 107–121.

Wheeler M. (2016) The rest is science: What does phenomenology tell us about cognition. In: Reynolds J. & Sebold R. (eds.) Phenomenology and sciencePalgrave Macmillan, New York: 87–101.

Williams D. (2018) Predictive minds and small-scale models: Kenneth Craik’s contribution to cognitive science. Philosophical Explorations 21(2): 245–263.

Windt J. M. (2018) Predictive brains, dreaming selves, sleeping bodies: How the analysis of dream movement can inform a theory of self- and world-simulation in dreams. Synthese 195(6): 2577–2625.

de Lange F. P., Heilbron M. & Kok P. (2018) How do expectations shape perception?. Trends in Cognitive Sciences 22(9): 764–779.