Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science
It is generally accepted that the human mind and cognition can be viewed at five levels; nerves, psychology, language, thinking and culture. Artificial intelligence(AI) simulates human intelligence at all five levels of human cognition, however, AI has yet to outperform human intelligence, although...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Cai Shushan [verfasserIn] Xue Xiaodi [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch ; Chinesisch |
| Erschienen: |
2017 |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
In: Contemporary Social Sciences - Editorial Department of Contemporary Social Sciences, 2022, (2017) |
|---|---|
| Übergeordnetes Werk: |
year:2017 |
| Links: |
|---|
| DOI / URN: |
10.19873/j.cnki.2096-0212.2017.04.010 |
|---|
| Katalog-ID: |
DOAJ089107217 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | DOAJ089107217 | ||
| 003 | DE-627 | ||
| 005 | 20230505002445.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 230505s2017 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.19873/j.cnki.2096-0212.2017.04.010 |2 doi | |
| 035 | |a (DE-627)DOAJ089107217 | ||
| 035 | |a (DE-599)DOAJ12505d439aef489089ce862f03a6e95f | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng |a chi | ||
| 100 | 0 | |a Cai Shushan |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science |
| 264 | 1 | |c 2017 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a It is generally accepted that the human mind and cognition can be viewed at five levels; nerves, psychology, language, thinking and culture. Artificial intelligence(AI) simulates human intelligence at all five levels of human cognition, however, AI has yet to outperform human intelligence, although it is making progress. Presently artificial intelligence lags far behind human intelligence in higher-order cognition, namely, the cognitive levels of language, thinking and culture. In fact, artificial intelligence and human intelligence fall into very different intelligence categories. Machine learning is no more than a simulation of human cognitive ability and therefore should not be overestimated. There is no need for us to feel scared even panic about it. Put forward by John R. Searle, the"Chinese Room"argument, a famous AI model and standard, is not yet out of date. According to this argument, a digital computer will never acquire human intelligence. Given that, no artificial intelligence will outperform human intelligence in the foreseeable future. | ||
| 650 | 4 | |a human mind | |
| 650 | 4 | |a human cognition | |
| 650 | 4 | |a human intelligence; | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a cognitive science | |
| 653 | 0 | |a Social Sciences | |
| 653 | 0 | |a H | |
| 700 | 0 | |a Xue Xiaodi |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i In |t Contemporary Social Sciences |d Editorial Department of Contemporary Social Sciences, 2022 |g (2017) |w (DE-627)1734024046 |w (DE-600)3040260-8 |x 20960212 |7 nnns |
| 773 | 1 | 8 | |g year:2017 |
| 856 | 4 | 0 | |u https://doi.org/10.19873/j.cnki.2096-0212.2017.04.010 |z kostenfrei |
| 856 | 4 | 0 | |u https://doaj.org/article/12505d439aef489089ce862f03a6e95f |z kostenfrei |
| 856 | 4 | 0 | |u https://css.researchcommons.org/cgi/viewcontent.cgi?article=1075&context=journal |z kostenfrei |
| 856 | 4 | 2 | |u https://doaj.org/toc/2096-0212 |y Journal toc |z kostenfrei |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_DOAJ | ||
| 912 | |a GBV_ILN_11 | ||
| 912 | |a GBV_ILN_2817 | ||
| 951 | |a AR | ||
| 952 | |j 2017 | ||
| author_variant |
c s cs x x xx |
|---|---|
| matchkey_str |
article:20960212:2017----::riiilnelgnenhmnnelgnenuacmuecmeiinrmhfvl |
| hierarchy_sort_str |
2017 |
| publishDate |
2017 |
| allfields |
10.19873/j.cnki.2096-0212.2017.04.010 doi (DE-627)DOAJ089107217 (DE-599)DOAJ12505d439aef489089ce862f03a6e95f DE-627 ger DE-627 rakwb eng chi Cai Shushan verfasserin aut Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is generally accepted that the human mind and cognition can be viewed at five levels; nerves, psychology, language, thinking and culture. Artificial intelligence(AI) simulates human intelligence at all five levels of human cognition, however, AI has yet to outperform human intelligence, although it is making progress. Presently artificial intelligence lags far behind human intelligence in higher-order cognition, namely, the cognitive levels of language, thinking and culture. In fact, artificial intelligence and human intelligence fall into very different intelligence categories. Machine learning is no more than a simulation of human cognitive ability and therefore should not be overestimated. There is no need for us to feel scared even panic about it. Put forward by John R. Searle, the"Chinese Room"argument, a famous AI model and standard, is not yet out of date. According to this argument, a digital computer will never acquire human intelligence. Given that, no artificial intelligence will outperform human intelligence in the foreseeable future. human mind human cognition human intelligence; artificial intelligence cognitive science Social Sciences H Xue Xiaodi verfasserin aut In Contemporary Social Sciences Editorial Department of Contemporary Social Sciences, 2022 (2017) (DE-627)1734024046 (DE-600)3040260-8 20960212 nnns year:2017 https://doi.org/10.19873/j.cnki.2096-0212.2017.04.010 kostenfrei https://doaj.org/article/12505d439aef489089ce862f03a6e95f kostenfrei https://css.researchcommons.org/cgi/viewcontent.cgi?article=1075&context=journal kostenfrei https://doaj.org/toc/2096-0212 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 2017 |
| spelling |
10.19873/j.cnki.2096-0212.2017.04.010 doi (DE-627)DOAJ089107217 (DE-599)DOAJ12505d439aef489089ce862f03a6e95f DE-627 ger DE-627 rakwb eng chi Cai Shushan verfasserin aut Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is generally accepted that the human mind and cognition can be viewed at five levels; nerves, psychology, language, thinking and culture. Artificial intelligence(AI) simulates human intelligence at all five levels of human cognition, however, AI has yet to outperform human intelligence, although it is making progress. Presently artificial intelligence lags far behind human intelligence in higher-order cognition, namely, the cognitive levels of language, thinking and culture. In fact, artificial intelligence and human intelligence fall into very different intelligence categories. Machine learning is no more than a simulation of human cognitive ability and therefore should not be overestimated. There is no need for us to feel scared even panic about it. Put forward by John R. Searle, the"Chinese Room"argument, a famous AI model and standard, is not yet out of date. According to this argument, a digital computer will never acquire human intelligence. Given that, no artificial intelligence will outperform human intelligence in the foreseeable future. human mind human cognition human intelligence; artificial intelligence cognitive science Social Sciences H Xue Xiaodi verfasserin aut In Contemporary Social Sciences Editorial Department of Contemporary Social Sciences, 2022 (2017) (DE-627)1734024046 (DE-600)3040260-8 20960212 nnns year:2017 https://doi.org/10.19873/j.cnki.2096-0212.2017.04.010 kostenfrei https://doaj.org/article/12505d439aef489089ce862f03a6e95f kostenfrei https://css.researchcommons.org/cgi/viewcontent.cgi?article=1075&context=journal kostenfrei https://doaj.org/toc/2096-0212 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 2017 |
| allfields_unstemmed |
10.19873/j.cnki.2096-0212.2017.04.010 doi (DE-627)DOAJ089107217 (DE-599)DOAJ12505d439aef489089ce862f03a6e95f DE-627 ger DE-627 rakwb eng chi Cai Shushan verfasserin aut Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is generally accepted that the human mind and cognition can be viewed at five levels; nerves, psychology, language, thinking and culture. Artificial intelligence(AI) simulates human intelligence at all five levels of human cognition, however, AI has yet to outperform human intelligence, although it is making progress. Presently artificial intelligence lags far behind human intelligence in higher-order cognition, namely, the cognitive levels of language, thinking and culture. In fact, artificial intelligence and human intelligence fall into very different intelligence categories. Machine learning is no more than a simulation of human cognitive ability and therefore should not be overestimated. There is no need for us to feel scared even panic about it. Put forward by John R. Searle, the"Chinese Room"argument, a famous AI model and standard, is not yet out of date. According to this argument, a digital computer will never acquire human intelligence. Given that, no artificial intelligence will outperform human intelligence in the foreseeable future. human mind human cognition human intelligence; artificial intelligence cognitive science Social Sciences H Xue Xiaodi verfasserin aut In Contemporary Social Sciences Editorial Department of Contemporary Social Sciences, 2022 (2017) (DE-627)1734024046 (DE-600)3040260-8 20960212 nnns year:2017 https://doi.org/10.19873/j.cnki.2096-0212.2017.04.010 kostenfrei https://doaj.org/article/12505d439aef489089ce862f03a6e95f kostenfrei https://css.researchcommons.org/cgi/viewcontent.cgi?article=1075&context=journal kostenfrei https://doaj.org/toc/2096-0212 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 2017 |
| allfieldsGer |
10.19873/j.cnki.2096-0212.2017.04.010 doi (DE-627)DOAJ089107217 (DE-599)DOAJ12505d439aef489089ce862f03a6e95f DE-627 ger DE-627 rakwb eng chi Cai Shushan verfasserin aut Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is generally accepted that the human mind and cognition can be viewed at five levels; nerves, psychology, language, thinking and culture. Artificial intelligence(AI) simulates human intelligence at all five levels of human cognition, however, AI has yet to outperform human intelligence, although it is making progress. Presently artificial intelligence lags far behind human intelligence in higher-order cognition, namely, the cognitive levels of language, thinking and culture. In fact, artificial intelligence and human intelligence fall into very different intelligence categories. Machine learning is no more than a simulation of human cognitive ability and therefore should not be overestimated. There is no need for us to feel scared even panic about it. Put forward by John R. Searle, the"Chinese Room"argument, a famous AI model and standard, is not yet out of date. According to this argument, a digital computer will never acquire human intelligence. Given that, no artificial intelligence will outperform human intelligence in the foreseeable future. human mind human cognition human intelligence; artificial intelligence cognitive science Social Sciences H Xue Xiaodi verfasserin aut In Contemporary Social Sciences Editorial Department of Contemporary Social Sciences, 2022 (2017) (DE-627)1734024046 (DE-600)3040260-8 20960212 nnns year:2017 https://doi.org/10.19873/j.cnki.2096-0212.2017.04.010 kostenfrei https://doaj.org/article/12505d439aef489089ce862f03a6e95f kostenfrei https://css.researchcommons.org/cgi/viewcontent.cgi?article=1075&context=journal kostenfrei https://doaj.org/toc/2096-0212 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 2017 |
| allfieldsSound |
10.19873/j.cnki.2096-0212.2017.04.010 doi (DE-627)DOAJ089107217 (DE-599)DOAJ12505d439aef489089ce862f03a6e95f DE-627 ger DE-627 rakwb eng chi Cai Shushan verfasserin aut Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is generally accepted that the human mind and cognition can be viewed at five levels; nerves, psychology, language, thinking and culture. Artificial intelligence(AI) simulates human intelligence at all five levels of human cognition, however, AI has yet to outperform human intelligence, although it is making progress. Presently artificial intelligence lags far behind human intelligence in higher-order cognition, namely, the cognitive levels of language, thinking and culture. In fact, artificial intelligence and human intelligence fall into very different intelligence categories. Machine learning is no more than a simulation of human cognitive ability and therefore should not be overestimated. There is no need for us to feel scared even panic about it. Put forward by John R. Searle, the"Chinese Room"argument, a famous AI model and standard, is not yet out of date. According to this argument, a digital computer will never acquire human intelligence. Given that, no artificial intelligence will outperform human intelligence in the foreseeable future. human mind human cognition human intelligence; artificial intelligence cognitive science Social Sciences H Xue Xiaodi verfasserin aut In Contemporary Social Sciences Editorial Department of Contemporary Social Sciences, 2022 (2017) (DE-627)1734024046 (DE-600)3040260-8 20960212 nnns year:2017 https://doi.org/10.19873/j.cnki.2096-0212.2017.04.010 kostenfrei https://doaj.org/article/12505d439aef489089ce862f03a6e95f kostenfrei https://css.researchcommons.org/cgi/viewcontent.cgi?article=1075&context=journal kostenfrei https://doaj.org/toc/2096-0212 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 2017 |
| language |
English Chinese |
| source |
In Contemporary Social Sciences (2017) year:2017 |
| sourceStr |
In Contemporary Social Sciences (2017) year:2017 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
human mind human cognition human intelligence; artificial intelligence cognitive science Social Sciences H |
| isfreeaccess_bool |
true |
| container_title |
Contemporary Social Sciences |
| authorswithroles_txt_mv |
Cai Shushan @@aut@@ Xue Xiaodi @@aut@@ |
| publishDateDaySort_date |
2017-01-01T00:00:00Z |
| hierarchy_top_id |
1734024046 |
| id |
DOAJ089107217 |
| language_de |
englisch chinesisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ089107217</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230505002445.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230505s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.19873/j.cnki.2096-0212.2017.04.010</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ089107217</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ12505d439aef489089ce862f03a6e95f</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield><subfield code="a">chi</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Cai Shushan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">It is generally accepted that the human mind and cognition can be viewed at five levels; nerves, psychology, language, thinking and culture. Artificial intelligence(AI) simulates human intelligence at all five levels of human cognition, however, AI has yet to outperform human intelligence, although it is making progress. Presently artificial intelligence lags far behind human intelligence in higher-order cognition, namely, the cognitive levels of language, thinking and culture. In fact, artificial intelligence and human intelligence fall into very different intelligence categories. Machine learning is no more than a simulation of human cognitive ability and therefore should not be overestimated. There is no need for us to feel scared even panic about it. Put forward by John R. Searle, the"Chinese Room"argument, a famous AI model and standard, is not yet out of date. According to this argument, a digital computer will never acquire human intelligence. Given that, no artificial intelligence will outperform human intelligence in the foreseeable future.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">human mind</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">human cognition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">human intelligence;</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cognitive science</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Social Sciences</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">H</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xue Xiaodi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Contemporary Social Sciences</subfield><subfield code="d">Editorial Department of Contemporary Social Sciences, 2022</subfield><subfield code="g">(2017)</subfield><subfield code="w">(DE-627)1734024046</subfield><subfield code="w">(DE-600)3040260-8</subfield><subfield code="x">20960212</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">year:2017</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.19873/j.cnki.2096-0212.2017.04.010</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/12505d439aef489089ce862f03a6e95f</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://css.researchcommons.org/cgi/viewcontent.cgi?article=1075&context=journal</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2096-0212</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2817</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="j">2017</subfield></datafield></record></collection>
|
| author |
Cai Shushan |
| spellingShingle |
Cai Shushan misc human mind misc human cognition misc human intelligence; misc artificial intelligence misc cognitive science misc Social Sciences misc H Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science |
| authorStr |
Cai Shushan |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)1734024046 |
| format |
electronic Article |
| delete_txt_mv |
keep |
| author_role |
aut aut |
| collection |
DOAJ |
| remote_str |
true |
| illustrated |
Not Illustrated |
| issn |
20960212 |
| topic_title |
Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science human mind human cognition human intelligence artificial intelligence cognitive science |
| topic |
misc human mind misc human cognition misc human intelligence; misc artificial intelligence misc cognitive science misc Social Sciences misc H |
| topic_unstemmed |
misc human mind misc human cognition misc human intelligence; misc artificial intelligence misc cognitive science misc Social Sciences misc H |
| topic_browse |
misc human mind misc human cognition misc human intelligence; misc artificial intelligence misc cognitive science misc Social Sciences misc H |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
cr |
| hierarchy_parent_title |
Contemporary Social Sciences |
| hierarchy_parent_id |
1734024046 |
| hierarchy_top_title |
Contemporary Social Sciences |
| isfreeaccess_txt |
true |
| familylinks_str_mv |
(DE-627)1734024046 (DE-600)3040260-8 |
| title |
Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science |
| ctrlnum |
(DE-627)DOAJ089107217 (DE-599)DOAJ12505d439aef489089ce862f03a6e95f |
| title_full |
Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science |
| author_sort |
Cai Shushan |
| journal |
Contemporary Social Sciences |
| journalStr |
Contemporary Social Sciences |
| lang_code |
eng chi |
| isOA_bool |
true |
| recordtype |
marc |
| publishDateSort |
2017 |
| contenttype_str_mv |
txt |
| author_browse |
Cai Shushan Xue Xiaodi |
| format_se |
Elektronische Aufsätze |
| author-letter |
Cai Shushan |
| doi_str_mv |
10.19873/j.cnki.2096-0212.2017.04.010 |
| author2-role |
verfasserin |
| title_sort |
artificial intelligence and human intelligence——on human-computer competition from the five-level theory of cognitive science |
| title_auth |
Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science |
| abstract |
It is generally accepted that the human mind and cognition can be viewed at five levels; nerves, psychology, language, thinking and culture. Artificial intelligence(AI) simulates human intelligence at all five levels of human cognition, however, AI has yet to outperform human intelligence, although it is making progress. Presently artificial intelligence lags far behind human intelligence in higher-order cognition, namely, the cognitive levels of language, thinking and culture. In fact, artificial intelligence and human intelligence fall into very different intelligence categories. Machine learning is no more than a simulation of human cognitive ability and therefore should not be overestimated. There is no need for us to feel scared even panic about it. Put forward by John R. Searle, the"Chinese Room"argument, a famous AI model and standard, is not yet out of date. According to this argument, a digital computer will never acquire human intelligence. Given that, no artificial intelligence will outperform human intelligence in the foreseeable future. |
| abstractGer |
It is generally accepted that the human mind and cognition can be viewed at five levels; nerves, psychology, language, thinking and culture. Artificial intelligence(AI) simulates human intelligence at all five levels of human cognition, however, AI has yet to outperform human intelligence, although it is making progress. Presently artificial intelligence lags far behind human intelligence in higher-order cognition, namely, the cognitive levels of language, thinking and culture. In fact, artificial intelligence and human intelligence fall into very different intelligence categories. Machine learning is no more than a simulation of human cognitive ability and therefore should not be overestimated. There is no need for us to feel scared even panic about it. Put forward by John R. Searle, the"Chinese Room"argument, a famous AI model and standard, is not yet out of date. According to this argument, a digital computer will never acquire human intelligence. Given that, no artificial intelligence will outperform human intelligence in the foreseeable future. |
| abstract_unstemmed |
It is generally accepted that the human mind and cognition can be viewed at five levels; nerves, psychology, language, thinking and culture. Artificial intelligence(AI) simulates human intelligence at all five levels of human cognition, however, AI has yet to outperform human intelligence, although it is making progress. Presently artificial intelligence lags far behind human intelligence in higher-order cognition, namely, the cognitive levels of language, thinking and culture. In fact, artificial intelligence and human intelligence fall into very different intelligence categories. Machine learning is no more than a simulation of human cognitive ability and therefore should not be overestimated. There is no need for us to feel scared even panic about it. Put forward by John R. Searle, the"Chinese Room"argument, a famous AI model and standard, is not yet out of date. According to this argument, a digital computer will never acquire human intelligence. Given that, no artificial intelligence will outperform human intelligence in the foreseeable future. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 |
| title_short |
Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science |
| url |
https://doi.org/10.19873/j.cnki.2096-0212.2017.04.010 https://doaj.org/article/12505d439aef489089ce862f03a6e95f https://css.researchcommons.org/cgi/viewcontent.cgi?article=1075&context=journal https://doaj.org/toc/2096-0212 |
| remote_bool |
true |
| author2 |
Xue Xiaodi |
| author2Str |
Xue Xiaodi |
| ppnlink |
1734024046 |
| mediatype_str_mv |
c |
| isOA_txt |
true |
| hochschulschrift_bool |
false |
| doi_str |
10.19873/j.cnki.2096-0212.2017.04.010 |
| up_date |
2024-07-03T21:17:31.922Z |
| _version_ |
1803594185491611648 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ089107217</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230505002445.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230505s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.19873/j.cnki.2096-0212.2017.04.010</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ089107217</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ12505d439aef489089ce862f03a6e95f</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield><subfield code="a">chi</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Cai Shushan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">It is generally accepted that the human mind and cognition can be viewed at five levels; nerves, psychology, language, thinking and culture. Artificial intelligence(AI) simulates human intelligence at all five levels of human cognition, however, AI has yet to outperform human intelligence, although it is making progress. Presently artificial intelligence lags far behind human intelligence in higher-order cognition, namely, the cognitive levels of language, thinking and culture. In fact, artificial intelligence and human intelligence fall into very different intelligence categories. Machine learning is no more than a simulation of human cognitive ability and therefore should not be overestimated. There is no need for us to feel scared even panic about it. Put forward by John R. Searle, the"Chinese Room"argument, a famous AI model and standard, is not yet out of date. According to this argument, a digital computer will never acquire human intelligence. Given that, no artificial intelligence will outperform human intelligence in the foreseeable future.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">human mind</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">human cognition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">human intelligence;</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cognitive science</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Social Sciences</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">H</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xue Xiaodi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Contemporary Social Sciences</subfield><subfield code="d">Editorial Department of Contemporary Social Sciences, 2022</subfield><subfield code="g">(2017)</subfield><subfield code="w">(DE-627)1734024046</subfield><subfield code="w">(DE-600)3040260-8</subfield><subfield code="x">20960212</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">year:2017</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.19873/j.cnki.2096-0212.2017.04.010</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/12505d439aef489089ce862f03a6e95f</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://css.researchcommons.org/cgi/viewcontent.cgi?article=1075&context=journal</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2096-0212</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2817</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="j">2017</subfield></datafield></record></collection>
|
| score |
7.3975754 |