List, Mike, Bruce

        Thanks to Mike and Bruce for these comments on hierarchies - and -
the triadic infrastructure that enables hierarchies - and - as Mike
points out, the three Peircean categories that are the foundation of
the triad. I think that not enough attention is paid to this
infrastructure of triad-and-categories. They are not just
descriptions; they are the 'how' of reality, i.e., how matter is
formed. [chance, actuality, continuity are the 'how' forces'] 
        Bruce writes: " Recent          research suggests possible
mechanisms for the emergence of          natural hierarchies
involving the nexus of chance, evolution,          entropy, free
energy, and information theory."

        Exactly - the reality of free energy and entropy within the
formation of matter [whether physical unit or conceptual unit] is
vital. There is no way that adaptation and evolution can take place
except within a triadic categorical infrastructure. This results in
what is known as a 'complex adaptive system' - which is both
hierarchical and networked. 

        And I note that Peirce did not refer to his work as 'idealism' but
as 'objective idealism' - and that's very, very different from
'idealism'; it acknowledges both Secondness and Thirdness.

        Edwina
 On Thu 04/03/21 11:23 PM , Mike Bergman [email protected] sent:
        Hi Bruce,     

        I am glad this is a line of discourse you want to pursue (and      
have pursued since at least 1994 as your link indicates). I'm      
happy to engage on any questions or topics; there are many other     
 Peirce afficiandos on these lists that also have helpful insights.   
   For now, I only comment on one of your points below:
          On 3/4/2021 9:31 AM,       [email protected] wrote:
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        Wow.  I love this.  I've been writing on           this subject
forever -- saying more or less the same things           and citing
the same authors -- e.g.,  Herbert Simon.  I'm           going to
print your article, Mike, and take a close look at           it. 
Back in the early days, I bought every book there was on          
Hierarchy.  You make basic points in your opening that I’d say     
     pave the way towards a very powerful general theory of          
epistemology.         
        The basic themes you outline in this           article are at the
essence of my notion of “Closed Loop           Interval Ontology”
– which is hierarchical exactly as you           describe, with the
addition that the framework is defined as a           closed loop
interconnecting these “levels” into a single           closed
mathematical structure.         
        My early stuff on this subject is here:          
http://originresearch.com [1]         
        The trick here seems to be – that this           thesis is so
powerful, it becomes combinatorically explosive –           heading
towards the fabled “theory of everything” – maybe in          
explicit epistemological detail.         
        Interesting that you say that “natural           hierarchies are
real” – which opens the way to some additional          
complexity or levels of inclusion.  Maybe there is a          
“hierarchical relationship” across levels of reality, such       
   that the kind of practical-real-world “reality” defined by     
     Barry Smith can be mapped directly into an absolutely abstract   
       model which I would say is a “science of the artificial”,
as           Herbert Simon might have described it.  “Does absolute
          abstraction exist in nature”?                 

        My own view is that Peirce's universal categories of Firstness,     
 Secondness, and Thirdness provide this level of "absolute      
abstraction [that] exists in nature". I don't know if you realize    
  that some of your earlier references         to Ogden and Richards
[2] were actually a paraphrase of Peirce's       insights. My own
research focus has been on trying to understand       the 'mindset'
of Peirce's universal categories, expressed in       perhaps a 100
different ways in his writings, that sets a frame of       reference
for tackling knowledge representation (epistemological)      
questions at virtually any level. Ogden and Richards picked up on    
  one with respect to meaning, but there are other examples galore    
  across Peirce's writings.     

        What Peirce really offers, IMO, is a way to break away from      
either-or Cartesian mindsets that always pit issues as win-lose      
propositions, and ignore the "fact" that one can both be a realist    
  and an idealist. By accepting the reality of absolute chance we     
 are also removing false dichotomies between determinism and      
evolution. As with wave-particle duality or quantum v classic      
physics, Cartesian thinking is a cultural and intellectual posture   
   that leaves us stymied and frustrated. I much prefer the      
trichotomous view of actuality bracketed by chance and continuity,   
   the essence of Peirce's universal categories.     

        BTW, there is no reason why this viewpoint can not inform the      
structure and basis of a top-level (upper) ontology. (One that I     
 humbly feels offers an integrative framework for ANY knowledge      
graph or ontology.) That is exactly the approach we have taken      
with our KBpedia [3]       knowledge structure, and its top-level
KBpedia         Knowledge Ontology [4] (KKO).
        Best, Mike
        Fascinating article and project, Mike.            A lot to talk
about.         
        Thanks!         
        - Bruce         
        Hierarchies — real           or artificial — abound to help us
organize our world. A hierarchy             places items into a
general order, where more ‘general’ is             also more
‘abstract’. The etymology of the word           hierarchy is
grounded in notions of religious and social rank.           This
article, after a broad historical review, focuses on          
knowledge systems, an interloper of the term hierarchy since         
 at least the 1800s. Hierarchies             in knowledge systems
include taxonomies, classification             systems, or thesauri
in library and information science, and             systems for
representing information and knowledge to             computers,
notably ontologies, knowledge graphs, and             knowledge
representation languages. Hierarchies are the             logical
underpinning of inference and reasoning in these             systems,
as well as the scaffolding for classification and            
inheritance. Hierarchies in knowledge systems express          
subsumption relations that have many flexible variants, which        
  we can represent algorithmically, and thus computationally.         
 This article dissects the dimensions of that variability,          
leading to a proposed typology of hierarchies useful to          
knowledge systems. The article argues through a perspective          
informed by Charles Sanders Peirce that natural hierarchies          
are real, can be logically determined, and are the appropriate       
   basis for knowledge systems. Description logics and semantic       
   language standards such as RDF or OWL reflect this          
perspective, importantly through their open-world logic and          
vocabularies for generalized subsumption hierarchies. Recent          
research suggests possible mechanisms for the emergence of          
natural hierarchies involving the nexus of chance, evolution,        
  entropy, free energy, and information theory.         
        Bruce Schuman         

        Santa Barbara CA USA         

        [email protected] / 805-705-9174         

        www.origin.org /           www.integralontology.net         
        -----Original Message-----
           From: [email protected]            On Behalf
Of Mike           Bergman
           Sent: Wednesday, March 3, 2021 7:57 PM
           To: [email protected];
[email protected]
           Subject: [ontolog-forum] Hierarchy, a la Peirce         
        Hi All,         
        I am pleased my open-access paper on           hierarchy in
knowledge systems, as informed by my           understanding of CS
Peirce, has been published by IEKO:          

        https://www.isko.org/cyclo/hierarchy [5].           I hope you
enjoy!         
        Thanks, Mike         


Links:
------
[1] http://originresearch.com
[2] http://originresearch.com/sd/sd4.cfm
[3] https://kbpedia.org/
[4] https://kbpedia.org/docs/kko-upper-structure/
[5] https://www.isko.org/cyclo/hierarchy
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