Publication 6021

Livet P. (2006) Self-organization in second-order cybernetics: Deconstruction or reconstruction of complexity. In: Feltz B., Crommelinck M. & Goujoun P. (eds.) Self-organization and emergence in life sciences. Springer, Berlin: 249–263. Fulltext at https://cepa.info/6021
Excerpt: So called “Second-Order” cybernetics developed the notions of self-organization in a manner more radical than Wiener, attempting to both give a strong sense to the prefix “auto” and, at the same time, to explain reflexive phenomena, memory, and the relation between the organism and its history, in terms of the emergence of a global effect out of local interactions and the networking of retroactive processes. But the proposed theories didn’t always work. Today’s connectionist systems are analogous in some ways to the “non-trivial machines” of von Foerster. They lay claim to a common filiate (the formal networks of neurons of McCulloch and Pitts) and, more recently, they attack the problem of the recognition and the representation of recursive, nested structures. This new step is reminiscent of the one which took us from Ashby’s homeostat to the application by von Foerster of the concept of recursivity to the problem of non-trivial or memory-equipped machines. We will attempt to show that the analogy is a real one and that von Foerster anticipated many of the current problems. But we will also see that with the development of working models, other more redoubtable difficulties have appeared precisely where Second-Order cybernetics failed to foresee them.

Similar publications:

Log in to view a list of similar publications
Local

The publication has not yet bookmarked in any reading list

You cannot bookmark this publication into a reading list because you are not member of any
Log in to create one.

There are currently no annotations

To add an annotation you need to log in first

Download statistics

Log in to view the download statistics for this publication
Export bibliographic details as: CF Format · APA · BibTex · EndNote · Harvard · MLA · Nature · RIS · Science