Abstract

http://ssrn.com/abstract=1974810
 
 

References (97)



 


 



Observing Networks: A Note on Asymmetrical Social Forms


Dirk Baecker


Zeppelin University

December 20, 2011

Cybernetics & Human Knowing 19, no. 4 (2012) 9-25

Abstract:     
If modern society, based on the introduction of the printing press, has believed in reason and was sorely tried as a result, a next society, emerging with the introduction of computers, believes in ecology and is similarly finding little resolve in this belief. This paper looks at a combination of systems theory, cybernetics, and sociological theory in search of a tool for inquiring into contemporary social forms. The idea of observing networks, drawing on Heinz von Foerster's notion of observing systems and Harrison C. White's network calculus of identity and control, is outlined to enable basic sociological intuitions about social forms to be integrated with an understanding of both complexity and recursivity organizing our perspective on the human condition in a precarious world. Social forms are shown to gain robustness not from substantial identity but from relational ambiguity. Observing networks, or so the hypothesis goes, combine bodies, minds, society, and – soon perhaps – intelligent machines. The paper looks at how an understanding of complexity, recursivity, system, form, and network may help flesh out the calculus of our human condition.

Number of Pages in PDF File: 21

Keywords: network, system, social form, observer

Accepted Paper Series





Download This Paper

Date posted: December 20, 2011 ; Last revised: January 25, 2013

Suggested Citation

Baecker, Dirk, Observing Networks: A Note on Asymmetrical Social Forms (December 20, 2011). Cybernetics & Human Knowing 19, no. 4 (2012) 9-25. Available at SSRN: http://ssrn.com/abstract=1974810 or http://dx.doi.org/10.2139/ssrn.1974810

Contact Information

Dirk Baecker (Contact Author)
Zeppelin University ( email )
Am Seemooser Horn 20
Friedrichshafen, Lake Constance 88045
Germany
Feedback to SSRN


Paper statistics
Abstract Views: 629
Downloads: 254
Download Rank: 69,659
References:  97
Paper comments
No comments have been made on this paper

© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollo5 in 0.344 seconds