- From: Owen Ambur <Owen.Ambur@verizon.net>
- Date: Sun, 25 Aug 2019 23:48:19 -0400
- To: public-aikr@w3.org
- Cc: Brian Nosek <nosek@virginia.edu>, Alan Yates <alan@docugami.com>, Chris Pardo <Pardo@JustTagIt.io>
- Message-ID: <9bfe3e7c-5396-47d5-b094-3059f4ca3c02@verizon.net>
To the degree that I understand it, Paola, I agree with your postulate.  
To me, it means the objectives of AI agents should be documented and 
shared in an open, standard, human- and machine-readable format like 
StratML.
In any event, Figshare's about statement is now available in StratML 
format at http://stratml.us/drybridge/index.htm#FGSHR
I look forward to learning if they have any plans to:
    a) help make research outputs machine-readable
    <https://en.wikipedia.org/wiki/Machine-readable_document> and/or
    b) partner with other organizations pursuing common or complementary
    objectives, e.g., the Center for Open Science.
    http://stratml.us/drybridge/index.htm#COS
BTW, IDF's about statement is now also in the StratML collection, at 
http://stratml.us/drybridge/index.htm#IDF I look forward to learning how 
DOIs might relate to stratml:Identifier(s), which are generally but not 
necessarily GUIDs.
The InterPlanetary File System also comes to mind. 
http://stratml.us/carmel/iso/IPFSwStyle.xml
Owen
On 8/25/2019 10:26 PM, Paola Di Maio wrote:
> Since posting  discussions about bridging the gap between symbolic and 
> subsymbolic, (see related posts) I have formulated a simple postulate, 
> and assigned a DOI so that anone following up on these discussions can 
> cite the contribution accordingly. I ll be happy to review the 
> postulate with comments and suggestions if any
>
> To support AI explainability, learnability,verifiability and 
> reproducibility, it is postulated that
> for each MLA *machine learning algorithm,
> there should correspond a natural language expression or other type of 
> symbolic knowledge representation
>
> https://doi.org/10.6084/m9.figshare.9730268.v2
> https://figshare.com/articles/A_New_Postulate_for_Knowledge_Representation_in_AI/9730268 
>
>
Received on Monday, 26 August 2019 03:48:48 UTC