John description of perception and cognition is in line with Pribram and
others (01)
Pribram, K.H. (1971). Languages of the Brain, experimental paradoxes and
principles in neuropsychology. New York: Wadsworth. (02)
Pribram, K. H. (1991). Brain and Perception: Holonomy and Structure in
Figural Processing. Hillsdale, NJ: Lawrence Erlbaum Associates. (03)
Pribram, K. (Ed). (1993). Rethinking Neural Networks: Quantum Fields and
Biological Data. Hillsdale, NJ, ERA (04)
Pribram, K. (Ed). (1994). Origins: Brain & Self Organization . Hillsdale,
NJ, (05)
Pribram, K. & King, J. (Eds) (1996). Learning as Self-Organization. Mahwah,
NJ, ERA (06)
Pribram, Karl (1993) (Ed) Rethinking Neural Networks: Quantum Fields and
Biological Data, Hillsdale, NJ, LEA (07)
Pribram, Karl (1994) (Ed). Origins: Brain & Self Organization. Hillsdale,
NJ, LEA (08)
The attribution to Peirce is interesting, but not as relevant as the process
model that is imbedded in John's description. It is this process model that
I used to conjecture about a stratified computational architecture.. (09)
http://www.bcngroup.org/area3/pprueitt/kmbook/Chapter4.htm (010)
where there are three types of "machine encoded ontology", (011)
1) a substructural ontology or what Ballard, Adi or Sowa all refer to as a
set of primitives. (012)
Adi's is the more sophisticated. (013)
http://www.bcngroup.org/beadgames/MST/thirtyone.htm is a tutorial on the
technology (a simple one) that is being discussed. (014)
2) an ultrastructural ontology which is similar to many concepts about
"upper abstract ontology" , is very close to Jeff Long's (DOE)
ultrastructure work. But I have referred to this ontology as the
anticipatory ontology and is where I would put ontology described in terms
of the Human Mark-up language (when we are addressing web services. (015)
3) the entanglement of the substructural ontology with the anticipatory
ontology to produce a RDF or Topic Map type ontology. (016)
These concepts are not just mine, as others will want to claim. (017)
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