- 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