3
Shared Docs
3
Same-Page
7 / 3
Mentions
angers developing? As a rough analogue, it's worth noting that the US government's imposition of restrictions on stem cell research, under President George W. Bush, appears to have directly stimulated the provision of additional funding for stem cell research in other nations like Korea, Singapore and China.
on stem cell research, under President George W. Bush, appears to have directly stimulated the provisi
ons on stem cell research, under President George W. Bush, appears to have directly stimulated the pr
nature of human linguistic concepts is well known, and is illustrated in Figure 15.2 for the commonsense knowledge domain (using a graph drawn from WordNet, a huge con- cept hierarchy covering 50K+ English-language concepts), and in Figure 15.4 for a specialized knowledge subdomain, genetics. Due to thi
dangers developing? As a rough analogue, it’s worth noting that the US government’s imposition of restrictions on stem cell research, under President George W. Bush, appears to have directly stimulated the provision of additional funding for stem cell research in other nations like Korea, Singapore and China. Th
on stem cell research, under President George W. Bush, appears to have directly stimulated the provisio
ons on stem cell research, under President George W. Bush, appears to have directly stimulated the pro
l nature of human linguistic concepts is well known, and is illustrated in Figure 15.2 for the commonsense knowledge domain (using a graph drawn from WordNet, a huge con- cept hierarchy covering 50K+ English-language concepts), and in Figure 15.4 for a specialized knowledge subdomain, genetics. Due to this
e created. Using frequent itemset mining to find temporal motif maps is a similar, but slightly more complex process. Here, one fixes a time-window W. Then, for each activation cycle index t, one creates a set S(t) consisting of pairs of the form: (A, a) where A is an Atom and 0 ≤ s ≤ W is an int
tic knowledge programmed in. In the latter approach, one may use knowledge from statistical corpus analysis, one may use electronic resources like WordNet and FrameNet, and one may use sophisticated, specialized tools like natural language parsers with hand-coded grammars. Rather than trying to emulate
Entities connected to both George W. Bush and WordNet

Donald Trump
PERSON
Marc Rich
PERSON
Bill Clinton
PERSON
Stephen Hawking
PERSON
Woody Allen
PERSONCourtney Wild
PERSON
Lawrence Krauss
PERSON
Vladimir Putin
PERSON
Earth
LOCATION
Vince Foster
PERSONSimpson
PERSON
Michael Jordan
PERSON
Gerald Edelman
PERSON
Edge Foundation
ORGANIZATIONOpenCog
ORGANIZATION
Edelman
ORGANIZATION
Nick Bostrom
PERSONConceptNodes
ORGANIZATIONCalvin
PERSON
Arkin
PERSON