Log in download the full text in PDF
Open peer commentary on the article “Applying Radical Constructivism to Machine Learning: A Pilot Study in Assistive Robotics” by Markus Nowak, Claudio Castellini & Carlo Massironi. Upshot: Applying radical constructivism to machine learning is a challenge that requires us to dive very deeply into its theory of knowing and learning. We need to clarify its fundamental concepts, if possible, in operational terms. This commentary aims at outlining how this kind of clarification could look in the case of 3 such concepts: (a) the construction of experiential reality; (b) learning as a constructive activity; (c) the viability of conceptual structures.
Bettoni M. C. (2018) Diving deeply into radical constructivism. Constructivist Foundations 13(2): 270–272. http://constructivist.info/13/2/270
To stay informed about comments to this publication and post comments yourself, please log in first.
|Comment by Robert Modlitba · 10 Apr 2018|
I am an undergrad student at Stockholm university who is very interested in RC. I have started a paper to structure my thoughts about RC and Luhmannâ€™s system theory. Reading your paper i found my thoughts very similar to yours. I would be very thankful if you could read my paper and comment it.
You will find it at https://www.academia.edu/s/97c79a1cc8/understanding-luhmanns-system-theory
Best regards Robert