Re: definitions, problem spaces, methods

Hi All,

It is always useful to have a shared understanding within a community 
for what defines its interests and why they have shared interests as a 
community. I applaud putting these questions out there. Like all W3C 
community groups, we have both committed students and occasional 
grazers. One can generally gauge usefulness of a given topic in a given 
group by the range of respondents to a given topic. Persistence seems to 
be more a function of specific interlocuters not letting go rather than 
usefulness.

After researching what became a book to consider the matter, I came to 
the opinion that AI is a subset of KR [1]. The conclusion of that 
investigation was:

    "However, when considered, mainly using prescission, it becomes
    clear that KR
    can exist without artificial intelligence, but AI requires knowledge
    representation.
    We can only pursue artificial intelligence via symbolic means, and
    KR is the transla -
    tion of information into a symbolic form to instruct a computer.
    Even if the com-
    puter learns on its own, we represent that information in symbolic
    KR form. This
    changed premise for the role of KR now enables us to think, perhaps,
    in broader
    terms, such as including the ideas of instinct and kinesthetics in
    the concept. This
    kind of re-consideration alters the speculative grammar we have for
    both KR and AI,
    helpful as we move the fields forward." (p 357)

That also caused me to pen a general commentary on one aspect of the KR 
challenge, how to consider classes (types) versus individuals (tokens) 
[2]. I would also argue these are now practically informed topics, among 
many, that augment or question older bibles like Brachman and Levesque.

Best, Mike

[1] https://www.mkbergman.com/pubs/akrp/chapter-17.pdf
[2] 
https://www.mkbergman.com/2286/knowledge-representation-is-a-tricky-business/

-- 
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Michael K. Bergman
319.621.5225
http://mkbergman.com
http://www.linkedin.com/in/mkbergman
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