Matches in SemOpenAlex for { <https://semopenalex.org/work/W2128847842> ?p ?o ?g. }
- W2128847842 endingPage "17" @default.
- W2128847842 startingPage "1" @default.
- W2128847842 abstract "Abstract intelligence is a human enquiry of both natural and artificial intelligence at the reductive embodying levels of neural, cognitive, functional, and logical from the bottom up. This paper describes the taxonomy and nature of intelligence. It analyzes roles of information in the evolution of human intelligence, and the needs for logical abstraction in modeling the brain and natural intelligence. A formal model of intelligence is developed known as the Generic Abstract Intelligence Mode (GAIM), which provides a foundation to explain the mechanisms of advanced natural intelligence such as thinking, learning, and inferences. A measurement framework of intelligent capability of humans and systems is comparatively studied in the forms of intelligent quotient, intelligent equivalence, and intelligent metrics. On the basis of the GAIM model and the abstract intelligence theories, the compatibility of natural and machine intelligence is revealed in order to investigate into a wide range of paradigms of abstract intelligence such as natural, artificial, machinable intelligence, and their engineering applications." @default.
- W2128847842 created "2016-06-24" @default.
- W2128847842 creator A5012322217 @default.
- W2128847842 date "2009-01-01" @default.
- W2128847842 modified "2023-10-16" @default.
- W2128847842 title "On Abstract Intelligence" @default.
- W2128847842 cites W1480781989 @default.
- W2128847842 cites W1483241283 @default.
- W2128847842 cites W1541093892 @default.
- W2128847842 cites W154197105 @default.
- W2128847842 cites W1560374531 @default.
- W2128847842 cites W1568285589 @default.
- W2128847842 cites W1569346675 @default.
- W2128847842 cites W1572404682 @default.
- W2128847842 cites W1580494969 @default.
- W2128847842 cites W1596812412 @default.
- W2128847842 cites W1600769580 @default.
- W2128847842 cites W1639847869 @default.
- W2128847842 cites W1834509240 @default.
- W2128847842 cites W1975000565 @default.
- W2128847842 cites W2001390679 @default.
- W2128847842 cites W2001771035 @default.
- W2128847842 cites W2004291888 @default.
- W2128847842 cites W2012187514 @default.
- W2128847842 cites W2027732084 @default.
- W2128847842 cites W2034088070 @default.
- W2128847842 cites W2040240188 @default.
- W2128847842 cites W2049592515 @default.
- W2128847842 cites W2052753179 @default.
- W2128847842 cites W2084883566 @default.
- W2128847842 cites W2103812576 @default.
- W2128847842 cites W2108704847 @default.
- W2128847842 cites W2110987215 @default.
- W2128847842 cites W2124776405 @default.
- W2128847842 cites W2138549619 @default.
- W2128847842 cites W2140095144 @default.
- W2128847842 cites W2145482038 @default.
- W2128847842 cites W2147611572 @default.
- W2128847842 cites W2155272711 @default.
- W2128847842 cites W2157598146 @default.
- W2128847842 cites W2171301064 @default.
- W2128847842 cites W2172439251 @default.
- W2128847842 cites W2302619866 @default.
- W2128847842 cites W2305540842 @default.
- W2128847842 cites W2312015575 @default.
- W2128847842 cites W2316162304 @default.
- W2128847842 cites W2501322474 @default.
- W2128847842 cites W2735575534 @default.
- W2128847842 cites W2798414776 @default.
- W2128847842 cites W2970017660 @default.
- W2128847842 cites W3148499377 @default.
- W2128847842 cites W574616911 @default.
- W2128847842 doi "https://doi.org/10.4018/jssci.2009010101" @default.
- W2128847842 hasPublicationYear "2009" @default.
- W2128847842 type Work @default.
- W2128847842 sameAs 2128847842 @default.
- W2128847842 citedByCount "162" @default.
- W2128847842 countsByYear W21288478422012 @default.
- W2128847842 countsByYear W21288478422013 @default.
- W2128847842 countsByYear W21288478422014 @default.
- W2128847842 countsByYear W21288478422015 @default.
- W2128847842 countsByYear W21288478422016 @default.
- W2128847842 countsByYear W21288478422017 @default.
- W2128847842 countsByYear W21288478422018 @default.
- W2128847842 countsByYear W21288478422019 @default.
- W2128847842 countsByYear W21288478422020 @default.
- W2128847842 countsByYear W21288478422021 @default.
- W2128847842 countsByYear W21288478422022 @default.
- W2128847842 countsByYear W21288478422023 @default.
- W2128847842 crossrefType "journal-article" @default.
- W2128847842 hasAuthorship W2128847842A5012322217 @default.
- W2128847842 hasConcept C105409693 @default.
- W2128847842 hasConcept C111472728 @default.
- W2128847842 hasConcept C124304363 @default.
- W2128847842 hasConcept C138885662 @default.
- W2128847842 hasConcept C154945302 @default.
- W2128847842 hasConcept C15744967 @default.
- W2128847842 hasConcept C162027153 @default.
- W2128847842 hasConcept C169760540 @default.
- W2128847842 hasConcept C169900460 @default.
- W2128847842 hasConcept C188147891 @default.
- W2128847842 hasConcept C207453521 @default.
- W2128847842 hasConcept C41008148 @default.
- W2128847842 hasConcept C44464901 @default.
- W2128847842 hasConcept C56397880 @default.
- W2128847842 hasConceptScore W2128847842C105409693 @default.
- W2128847842 hasConceptScore W2128847842C111472728 @default.
- W2128847842 hasConceptScore W2128847842C124304363 @default.
- W2128847842 hasConceptScore W2128847842C138885662 @default.
- W2128847842 hasConceptScore W2128847842C154945302 @default.
- W2128847842 hasConceptScore W2128847842C15744967 @default.
- W2128847842 hasConceptScore W2128847842C162027153 @default.
- W2128847842 hasConceptScore W2128847842C169760540 @default.
- W2128847842 hasConceptScore W2128847842C169900460 @default.
- W2128847842 hasConceptScore W2128847842C188147891 @default.
- W2128847842 hasConceptScore W2128847842C207453521 @default.
- W2128847842 hasConceptScore W2128847842C41008148 @default.
- W2128847842 hasConceptScore W2128847842C44464901 @default.