@aadmaa
Ontic vagueness sounds good.

#RequisiteVariety includes
#RequisiteAmbiguity and
after Dennett and Levenchuk
#DefinitionAsACoffin
and
#GoodFences

Constraints and Indications • 2
• https://inquiryintoinquiry.com/2024/07/04/constraints-and-indications-2-a/

Coping with collaboration, communication, context, integration, interoperability, perspective, purpose, and the reality of the information dimension demands a transition from conceptual environments bounded by dyadic relations to those informed by triadic relations, especially the variety of triadic sign relations employed by pragmatic semiotics.

Along the lines of my first post on this topic I am presently concerned with the logical and mathematical requirements of dealing with constraints but when it comes to the constraints involved in communicating across cultural and disciplinary barriers I could recommend a paper Susan Awbrey and I wrote for a conference devoted to those very issues.

Conference Presentation —

Awbrey, S.M., and Awbrey, J.L. (1999), “Organizations of Learning or Learning Organizations : The Challenge of Creating Integrative Universities for the Next Century”, Second International Conference of the Journal ‘Organization’, Re‑Organizing Knowledge, Trans‑Forming Institutions : Knowing, Knowledge, and the University in the 21st Century, University of Massachusetts, Amherst, MA.
• https://cspeirce.com/menu/library/aboutcsp/awbrey/integrat.htm

Published Paper —

Awbrey, S.M., and Awbrey, J.L. (2001), “Conceptual Barriers to Creating Integrative Universities”, Organization : The Interdisciplinary Journal of Organization, Theory, and Society 8(2), Sage Publications, London, UK, 269–284.
• https://journals.sagepub.com/doi/abs/10.1177/1350508401082013
• https://www.academia.edu/1266492/Conceptual_Barriers_to_Creating_Integrative_Universities

#Peirce #Logic #Semiotics #Indication #Inference #Information #Inquiry
#Ashby #Cybernetics #Constraint #Control #Regulation #RequisiteVariety
#AdaptiveSystems #IntelligentSystems #InquiryDrivenSystems #Pragmatics

A couple decades ago it occurred to me that the dynamics of disagreement often tend toward polarization rather than toward unification at a higher level of understanding.

Further, it seemed (to me) that this might be analogous to the behavior of a feedback loop out of control and going to one or the other of its extreme rails.

And further, this seemed (to me) to be the behavior of a system finding its lowest energy/information state, associated with lack of requisite variety.

This behavior seemed (to me) generalizable in principle across systems based on electronics, mechanisms, …, human individuals, and groups.

At that time I was active in a forum of Very Smart People, and when I ventured this observation/opinion it received no interest or engagement.

I'm wondering whether now, twenty years later, with polarization in politics being grossly apparent, whether anyone reading this might be able to recommend some sources of more extensive thinking on the question of such a general principle…?

#agreement #disagreement #polarization #systemsTheory #controlTheory #systemsThinking #politics #leastEnergy #leastInformation #requisiteVariety

#Regler

Die #Kontrolle eines #System​s erfordere eine #Regulierung, die mehr #Flexibilität vorweist als das, was sie #kontrollieren möchte, weil sie #Anschluss an jedes #Verhalten liefern müsse, das unter #unsichtbar​en #Bedingungen zustande kommt.

Insofern sei es wichtiger zu #verstehen, #was geschieht, als genau zu #wissen, #wie es geschieht.

#Blackbox #Kybernetik #Beer #RequisiteVariety

Eden #Medina - #Cybernetic #Revolution​aries; #Technology and #politics in #Allende'​s #Chile, S.27

Most fields have only a few laws.

I've been diving into #StaffordBeer over the past few days, #cybernetics guru of the 1970s-90s. His concepts of #AshbysLaw of #RequisiteVariety, and of #ViableSystemsModel get toward this. Notably, a model should be as simple as possible, but no simpler (Einstein).

An overly complex model invites #overfitting

Breakthroughs in domains occur where an accumulation of many complex rules can be discarded for a small set of simpler ones. Physics: Newton on gravity, motion, and optics. Chemistry: Mendeleev on chemical elements (valance electrons and atomic masses), Biology: Darwin and evolution (and genetics and DNA). Geology: Wegener and plate tectonics. Information; Shannon. Computer science: Turing & Church.

The social sciences have been approached repeatedly by their core truth but to date have rejected it.

11/