Hello,

I keep being surprised by this list, when topics which I have been 
interested in for some time come cropping up in the discussion here :-)

I would like to second Robert's recommendation for the book Conceptual 
Mathematics, a good place to go from there would be:

Category Theory
http://www.oup.com/uk/catalogue/?ci=9780198568612

from Steve Awodey:
http://www.andrew.cmu.edu/user/awodey/

I haven't read the latter yet (I'm still working throught Conceptual 
Math.)but this is definitely the book I will go for next - Awodey has a 
good reputation for being accessible without making compromises 
regarding content (the book is rather expensive unfortunately).

The classic on Category Theory is

Mac Lane: Categories for the Working Mathematician.

but, as the title suggests, is for fully-fledged mathematicians only ;-)


Regards,
Günther

steve smith wrote:
> Owen, et alii -
> 
>>
>> Has anyone used this in complexity science work?  Or semantic web
>> work?  Or anything else?  :)
> 
> 
> My colleagues at UNM... Tom Caudell (whom I believe you have met), Tim 
> Goldsmith (Cognitive Psychologist) and Mike Healey (Mathematician 
> retired from UWash) are using it to develop knowledge models from expert 
> elicitation.  The methodology they are developing is essentially 
> (apologies to them for any mistakes I make) as follows:
> 
> 1) Collect a set of potential "experts".
> 2) Interview them about the topic in question, primarily asking what 
> words (terms) they use ot describe the topic, think about the topic, 
> pontificate on the topic.
> 3) Pile all these terms on a big blanket out in the field on a windy day.
> 4) Toss the terms in the air and let the wind carry away the lightweight 
> and trivial ones.
> 5) Sort through the remainders and join up synonyms .
> 6) Go back to the experts and ask them to rank the pairwise distance 
> between terms. (N squared!) One gets a fully connected graph.
> 7) Do some kind of normalization thingy amongst the results... call it a 
> numerical average for now.
> 8) Threshold the edges such that the graph no longer is fully connected 
> (black magic mojo).
> 9) Iteratively consult a subset ( the more cooperative ones?) of experts 
> on steps 7, 8.
> 10)  Viola!
> 
> Although I am only peripherally involved in their discussions on this, I 
> believe:
> A) 8) There are probably more advanced graph theoretic things to do than 
> simply threshold the weights...  like collapsing cycles and/or finding 
> some heirarchy, and/or thresholding some more interesting??? derived 
> measure than the simple, original weights... maybe...
> B) 7) There are likely somewhat interesting things to do here, 
> especially to (later) place the different experts "point of view" 
> relative to the collective.   There would seem to be a lot of soft 
> and/or unknown factors regarding the nature of the experts... etc.
> 
>  I'm trying to converge my own less formal theories about Metaphor in 
> Information Visualization (formal analogy, etc) with their work, but 
> there is still a bit of distance (probably entirely in my lack of 
> understanding of the nuances of category theory).   My now-30-year old 
> BS in Mathematics and Physics with a handful of graduate courses in 
> group theory and topology tossed on top for garnish serves me just well 
> enough to get in trouble...
> 
> I have been doing work in Visualization of Ontologies which also seems 
> to relate... I'm not sure anyone knows how to build an ontology 
> really... or how to describe the caveats and conditions surrounding the 
> Ontology.  The Gene Ontology I have worked most with seems to have 
> plenty of anomolies of both history and of the compromises made to bring 
> it to a single, agreed-upon ontology...
> 
> It seems that most Ontologies, at least for the moment are going to be 
> self-organizing... that the only people both able and willing to build 
> such a huge abstract beast are those who will also use it...
> 
> One problem (in my opinion) is that it is somewhat of a "theory of 
> everything" so in some sense, all formal knowledge models can be 
> expressed in or traced back to category theory... so merely saying that 
> one is "using category theory" is not unlike replying to the question 
> "How did you get here?" with "I used a mode of transportation".
> 
> For example, at a meeting between Caudell and two of my more strongly 
> mathematically inclined colleagues last week, it was stated with 
> complete confidence and agreement around the the table that Formal 
> Concept Analysis is "just a specific use of Category Theory"...
> 
> 
>> We've knocked around the term Category Theory a bit lately, so I
>> started looking into it a bit.  This seems to be a reasonable
>> starting place:
>>    http://en.wikipedia.org/wiki/Category_theory
> 
> Wikipedia strikes again!   I am constantly amazed at how accessible and 
> thorough technical information on Wikipedia is.  I can't vouch for it's 
> accuracy (or thoroughness) in this case, but I am impressed at how well 
> these articles seem to summarize what I think I already know and plenty 
> I'm still trying to figure out.
> 
> And to make it even more interesting... isn't Wikipedia a 
> self-organizing ontology of everything?   If one "labels" the links used 
> in Wikipedia to other Wikipedia elements with the verbs used in the 
> text, does that not begin to make an ontology?
> 
> Like the first line In Categories:
> 
>  mathematics, categories allow one to formalize notions involving 
> abstract structure and processes that preserve structure.
> 
> We have a link between "Categories" and "Mathematics" and perhaps 
> (suggesting new links or topic are needed in Wikipedia) "Notions" and 
> "Structure" or perhaps "Abstract Structure" and "Processes", etc..
> 
> I look forward to the evolution of this discussion here (If I can even 
> keep up).
> 
> - Steve
> 
> 
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