About: GeoffreyMooreComment-2016-09-16

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http://75.101.141.105/describe/?url=http%3A%2F%2Fkingsley.idehen.net%2FDAV%2Fhome%2Fkidehen%2FPublic%2FLinked%2520Data%2520Documents%2FNanotations%2Frandom-notes-discussion-threads.ttl%23GeoffreyMooreComment-2016-09-16

Attributes	Values
type	Comment
Subject	News about #MachineLearning on Twitter Artificial Intelligence https://twitter.com/hashtag/SmartAgent#this [DBpedia Spotlight Annotator] Semantic Web Giant Global Graph
author	https://www.linkedin.com/in/geoffreyamoore#this
name	GeoffreyMooreComment-2016-09-16
url	http://kingsley.idehen.net/DAV/home/kidehen/Public/Linked%20Data%20Documents/Nanotations/random-notes-discussion-threads.ttl
Date Created	2016-09-2016 (xsd:date)
discussionUrl	https://www.linkedin.com/pulse/ai-from-venus-machine-learning-mars-geoffrey-moore
mentions	Analytics dbr:Spreadsheet dbc:Data_analysis_software dbc:Spreadsheet_software dbr:List_of_reporting_software http://twitter.com/hashtag/Analytics
text	AI develops conceptual models of the world that are underpinned by set theory and natural language. In this context, every noun or noun phrase represents a set. Every predicate implicates that set in other sets. If all human beings are mortal, and you are a human being, then you are mortal. Itâs an exercise in Venn diagrams. By extending these diagrams through syntax, semantics, and analogy, human beings build up conceptual models of the world that enable us to develop strategies for living. AI seeks to emulate this capability in expert systems.
is hasPart of	AI is from Venus, Machine Learning is from Mars

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