Embodied Cognition and Human-Machine Coexistence
Recently, we discussed the relative importance of direct perception, embodiment, metaphors, and ethics for cooperative human-machine coexistence. The present paper deepens the examination of embodiment and direct perception by considering differences between computational and representational models...
Ausführliche Beschreibung
Autor*in: |
Norris L. Smith [verfasserIn] Oussama H. Hamid [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2017 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: UKH Journal of Science and Engineering - Univeristy of Kurdistan Hewler, 2019, 1(2017), 1 |
---|---|
Übergeordnetes Werk: |
volume:1 ; year:2017 ; number:1 |
Links: |
---|
DOI / URN: |
10.25079/ukhjse.v1n1y2017.pp67-71 |
---|
Katalog-ID: |
DOAJ067105351 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ067105351 | ||
003 | DE-627 | ||
005 | 20230309065136.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230228s2017 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.25079/ukhjse.v1n1y2017.pp67-71 |2 doi | |
035 | |a (DE-627)DOAJ067105351 | ||
035 | |a (DE-599)DOAJ763cf321295d402294a138fb712cf733 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 0 | |a Norris L. Smith |e verfasserin |4 aut | |
245 | 1 | 0 | |a Embodied Cognition and Human-Machine Coexistence |
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 Recently, we discussed the relative importance of direct perception, embodiment, metaphors, and ethics for cooperative human-machine coexistence. The present paper deepens the examination of embodiment and direct perception by considering differences between computational and representational models on one hand and embodied cognition on the other. We found that to achieve true artificial intelligence (AI) and, hence, a cooperative human-machine coexistence, research must overcome the limitations of computational and representational models. This can be reached by connecting machines to the world through bodies that exhibit sensory and motor skills as demonstrated by embodied cognition. Furthermore, substantial improvement in AI could be achieved by adopting a hybrid framework in which embodied cognition, for example, may contain representational, abstract, and symbolic aspects. The adoption of such a “both and” instead of “either or” view is a more realistic approach for progress in AI applications. | ||
650 | 4 | |a Artificial intelligence | |
650 | 4 | |a Embodied cognition | |
650 | 4 | |a Human intelligence | |
650 | 4 | |a Human-machine coexistence | |
650 | 4 | |a Phenomenology | |
653 | 0 | |a Technology | |
653 | 0 | |a T | |
653 | 0 | |a Science | |
653 | 0 | |a Q | |
700 | 0 | |a Oussama H. Hamid |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t UKH Journal of Science and Engineering |d Univeristy of Kurdistan Hewler, 2019 |g 1(2017), 1 |w (DE-627)1760611549 |x 25207792 |7 nnns |
773 | 1 | 8 | |g volume:1 |g year:2017 |g number:1 |
856 | 4 | 0 | |u https://doi.org/10.25079/ukhjse.v1n1y2017.pp67-71 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/763cf321295d402294a138fb712cf733 |z kostenfrei |
856 | 4 | 0 | |u https://journals.ukh.edu.krd/index.php/ukhjse/article/view/20 |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/2520-7792 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
951 | |a AR | ||
952 | |d 1 |j 2017 |e 1 |
author_variant |
n l s nls o h h ohh |
---|---|
matchkey_str |
article:25207792:2017----::moidontoaduamci |
hierarchy_sort_str |
2017 |
publishDate |
2017 |
allfields |
10.25079/ukhjse.v1n1y2017.pp67-71 doi (DE-627)DOAJ067105351 (DE-599)DOAJ763cf321295d402294a138fb712cf733 DE-627 ger DE-627 rakwb eng Norris L. Smith verfasserin aut Embodied Cognition and Human-Machine Coexistence 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recently, we discussed the relative importance of direct perception, embodiment, metaphors, and ethics for cooperative human-machine coexistence. The present paper deepens the examination of embodiment and direct perception by considering differences between computational and representational models on one hand and embodied cognition on the other. We found that to achieve true artificial intelligence (AI) and, hence, a cooperative human-machine coexistence, research must overcome the limitations of computational and representational models. This can be reached by connecting machines to the world through bodies that exhibit sensory and motor skills as demonstrated by embodied cognition. Furthermore, substantial improvement in AI could be achieved by adopting a hybrid framework in which embodied cognition, for example, may contain representational, abstract, and symbolic aspects. The adoption of such a “both and” instead of “either or” view is a more realistic approach for progress in AI applications. Artificial intelligence Embodied cognition Human intelligence Human-machine coexistence Phenomenology Technology T Science Q Oussama H. Hamid verfasserin aut In UKH Journal of Science and Engineering Univeristy of Kurdistan Hewler, 2019 1(2017), 1 (DE-627)1760611549 25207792 nnns volume:1 year:2017 number:1 https://doi.org/10.25079/ukhjse.v1n1y2017.pp67-71 kostenfrei https://doaj.org/article/763cf321295d402294a138fb712cf733 kostenfrei https://journals.ukh.edu.krd/index.php/ukhjse/article/view/20 kostenfrei https://doaj.org/toc/2520-7792 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 1 2017 1 |
spelling |
10.25079/ukhjse.v1n1y2017.pp67-71 doi (DE-627)DOAJ067105351 (DE-599)DOAJ763cf321295d402294a138fb712cf733 DE-627 ger DE-627 rakwb eng Norris L. Smith verfasserin aut Embodied Cognition and Human-Machine Coexistence 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recently, we discussed the relative importance of direct perception, embodiment, metaphors, and ethics for cooperative human-machine coexistence. The present paper deepens the examination of embodiment and direct perception by considering differences between computational and representational models on one hand and embodied cognition on the other. We found that to achieve true artificial intelligence (AI) and, hence, a cooperative human-machine coexistence, research must overcome the limitations of computational and representational models. This can be reached by connecting machines to the world through bodies that exhibit sensory and motor skills as demonstrated by embodied cognition. Furthermore, substantial improvement in AI could be achieved by adopting a hybrid framework in which embodied cognition, for example, may contain representational, abstract, and symbolic aspects. The adoption of such a “both and” instead of “either or” view is a more realistic approach for progress in AI applications. Artificial intelligence Embodied cognition Human intelligence Human-machine coexistence Phenomenology Technology T Science Q Oussama H. Hamid verfasserin aut In UKH Journal of Science and Engineering Univeristy of Kurdistan Hewler, 2019 1(2017), 1 (DE-627)1760611549 25207792 nnns volume:1 year:2017 number:1 https://doi.org/10.25079/ukhjse.v1n1y2017.pp67-71 kostenfrei https://doaj.org/article/763cf321295d402294a138fb712cf733 kostenfrei https://journals.ukh.edu.krd/index.php/ukhjse/article/view/20 kostenfrei https://doaj.org/toc/2520-7792 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 1 2017 1 |
allfields_unstemmed |
10.25079/ukhjse.v1n1y2017.pp67-71 doi (DE-627)DOAJ067105351 (DE-599)DOAJ763cf321295d402294a138fb712cf733 DE-627 ger DE-627 rakwb eng Norris L. Smith verfasserin aut Embodied Cognition and Human-Machine Coexistence 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recently, we discussed the relative importance of direct perception, embodiment, metaphors, and ethics for cooperative human-machine coexistence. The present paper deepens the examination of embodiment and direct perception by considering differences between computational and representational models on one hand and embodied cognition on the other. We found that to achieve true artificial intelligence (AI) and, hence, a cooperative human-machine coexistence, research must overcome the limitations of computational and representational models. This can be reached by connecting machines to the world through bodies that exhibit sensory and motor skills as demonstrated by embodied cognition. Furthermore, substantial improvement in AI could be achieved by adopting a hybrid framework in which embodied cognition, for example, may contain representational, abstract, and symbolic aspects. The adoption of such a “both and” instead of “either or” view is a more realistic approach for progress in AI applications. Artificial intelligence Embodied cognition Human intelligence Human-machine coexistence Phenomenology Technology T Science Q Oussama H. Hamid verfasserin aut In UKH Journal of Science and Engineering Univeristy of Kurdistan Hewler, 2019 1(2017), 1 (DE-627)1760611549 25207792 nnns volume:1 year:2017 number:1 https://doi.org/10.25079/ukhjse.v1n1y2017.pp67-71 kostenfrei https://doaj.org/article/763cf321295d402294a138fb712cf733 kostenfrei https://journals.ukh.edu.krd/index.php/ukhjse/article/view/20 kostenfrei https://doaj.org/toc/2520-7792 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 1 2017 1 |
allfieldsGer |
10.25079/ukhjse.v1n1y2017.pp67-71 doi (DE-627)DOAJ067105351 (DE-599)DOAJ763cf321295d402294a138fb712cf733 DE-627 ger DE-627 rakwb eng Norris L. Smith verfasserin aut Embodied Cognition and Human-Machine Coexistence 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recently, we discussed the relative importance of direct perception, embodiment, metaphors, and ethics for cooperative human-machine coexistence. The present paper deepens the examination of embodiment and direct perception by considering differences between computational and representational models on one hand and embodied cognition on the other. We found that to achieve true artificial intelligence (AI) and, hence, a cooperative human-machine coexistence, research must overcome the limitations of computational and representational models. This can be reached by connecting machines to the world through bodies that exhibit sensory and motor skills as demonstrated by embodied cognition. Furthermore, substantial improvement in AI could be achieved by adopting a hybrid framework in which embodied cognition, for example, may contain representational, abstract, and symbolic aspects. The adoption of such a “both and” instead of “either or” view is a more realistic approach for progress in AI applications. Artificial intelligence Embodied cognition Human intelligence Human-machine coexistence Phenomenology Technology T Science Q Oussama H. Hamid verfasserin aut In UKH Journal of Science and Engineering Univeristy of Kurdistan Hewler, 2019 1(2017), 1 (DE-627)1760611549 25207792 nnns volume:1 year:2017 number:1 https://doi.org/10.25079/ukhjse.v1n1y2017.pp67-71 kostenfrei https://doaj.org/article/763cf321295d402294a138fb712cf733 kostenfrei https://journals.ukh.edu.krd/index.php/ukhjse/article/view/20 kostenfrei https://doaj.org/toc/2520-7792 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 1 2017 1 |
allfieldsSound |
10.25079/ukhjse.v1n1y2017.pp67-71 doi (DE-627)DOAJ067105351 (DE-599)DOAJ763cf321295d402294a138fb712cf733 DE-627 ger DE-627 rakwb eng Norris L. Smith verfasserin aut Embodied Cognition and Human-Machine Coexistence 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recently, we discussed the relative importance of direct perception, embodiment, metaphors, and ethics for cooperative human-machine coexistence. The present paper deepens the examination of embodiment and direct perception by considering differences between computational and representational models on one hand and embodied cognition on the other. We found that to achieve true artificial intelligence (AI) and, hence, a cooperative human-machine coexistence, research must overcome the limitations of computational and representational models. This can be reached by connecting machines to the world through bodies that exhibit sensory and motor skills as demonstrated by embodied cognition. Furthermore, substantial improvement in AI could be achieved by adopting a hybrid framework in which embodied cognition, for example, may contain representational, abstract, and symbolic aspects. The adoption of such a “both and” instead of “either or” view is a more realistic approach for progress in AI applications. Artificial intelligence Embodied cognition Human intelligence Human-machine coexistence Phenomenology Technology T Science Q Oussama H. Hamid verfasserin aut In UKH Journal of Science and Engineering Univeristy of Kurdistan Hewler, 2019 1(2017), 1 (DE-627)1760611549 25207792 nnns volume:1 year:2017 number:1 https://doi.org/10.25079/ukhjse.v1n1y2017.pp67-71 kostenfrei https://doaj.org/article/763cf321295d402294a138fb712cf733 kostenfrei https://journals.ukh.edu.krd/index.php/ukhjse/article/view/20 kostenfrei https://doaj.org/toc/2520-7792 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 1 2017 1 |
language |
English |
source |
In UKH Journal of Science and Engineering 1(2017), 1 volume:1 year:2017 number:1 |
sourceStr |
In UKH Journal of Science and Engineering 1(2017), 1 volume:1 year:2017 number:1 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Artificial intelligence Embodied cognition Human intelligence Human-machine coexistence Phenomenology Technology T Science Q |
isfreeaccess_bool |
true |
container_title |
UKH Journal of Science and Engineering |
authorswithroles_txt_mv |
Norris L. Smith @@aut@@ Oussama H. Hamid @@aut@@ |
publishDateDaySort_date |
2017-01-01T00:00:00Z |
hierarchy_top_id |
1760611549 |
id |
DOAJ067105351 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ067105351</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230309065136.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.25079/ukhjse.v1n1y2017.pp67-71</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ067105351</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ763cf321295d402294a138fb712cf733</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></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Norris L. Smith</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Embodied Cognition and Human-Machine Coexistence</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">Recently, we discussed the relative importance of direct perception, embodiment, metaphors, and ethics for cooperative human-machine coexistence. The present paper deepens the examination of embodiment and direct perception by considering differences between computational and representational models on one hand and embodied cognition on the other. We found that to achieve true artificial intelligence (AI) and, hence, a cooperative human-machine coexistence, research must overcome the limitations of computational and representational models. This can be reached by connecting machines to the world through bodies that exhibit sensory and motor skills as demonstrated by embodied cognition. Furthermore, substantial improvement in AI could be achieved by adopting a hybrid framework in which embodied cognition, for example, may contain representational, abstract, and symbolic aspects. The adoption of such a “both and” instead of “either or” view is a more realistic approach for progress in AI applications.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Embodied 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">Human-machine coexistence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Phenomenology</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Technology</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">T</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Science</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Q</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Oussama H. Hamid</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">UKH Journal of Science and Engineering</subfield><subfield code="d">Univeristy of Kurdistan Hewler, 2019</subfield><subfield code="g">1(2017), 1</subfield><subfield code="w">(DE-627)1760611549</subfield><subfield code="x">25207792</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:1</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:1</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.25079/ukhjse.v1n1y2017.pp67-71</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/763cf321295d402294a138fb712cf733</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://journals.ukh.edu.krd/index.php/ukhjse/article/view/20</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2520-7792</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="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">1</subfield><subfield code="j">2017</subfield><subfield code="e">1</subfield></datafield></record></collection>
|
author |
Norris L. Smith |
spellingShingle |
Norris L. Smith misc Artificial intelligence misc Embodied cognition misc Human intelligence misc Human-machine coexistence misc Phenomenology misc Technology misc T misc Science misc Q Embodied Cognition and Human-Machine Coexistence |
authorStr |
Norris L. Smith |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)1760611549 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut |
collection |
DOAJ |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
25207792 |
topic_title |
Embodied Cognition and Human-Machine Coexistence Artificial intelligence Embodied cognition Human intelligence Human-machine coexistence Phenomenology |
topic |
misc Artificial intelligence misc Embodied cognition misc Human intelligence misc Human-machine coexistence misc Phenomenology misc Technology misc T misc Science misc Q |
topic_unstemmed |
misc Artificial intelligence misc Embodied cognition misc Human intelligence misc Human-machine coexistence misc Phenomenology misc Technology misc T misc Science misc Q |
topic_browse |
misc Artificial intelligence misc Embodied cognition misc Human intelligence misc Human-machine coexistence misc Phenomenology misc Technology misc T misc Science misc Q |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
UKH Journal of Science and Engineering |
hierarchy_parent_id |
1760611549 |
hierarchy_top_title |
UKH Journal of Science and Engineering |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)1760611549 |
title |
Embodied Cognition and Human-Machine Coexistence |
ctrlnum |
(DE-627)DOAJ067105351 (DE-599)DOAJ763cf321295d402294a138fb712cf733 |
title_full |
Embodied Cognition and Human-Machine Coexistence |
author_sort |
Norris L. Smith |
journal |
UKH Journal of Science and Engineering |
journalStr |
UKH Journal of Science and Engineering |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2017 |
contenttype_str_mv |
txt |
author_browse |
Norris L. Smith Oussama H. Hamid |
container_volume |
1 |
format_se |
Elektronische Aufsätze |
author-letter |
Norris L. Smith |
doi_str_mv |
10.25079/ukhjse.v1n1y2017.pp67-71 |
author2-role |
verfasserin |
title_sort |
embodied cognition and human-machine coexistence |
title_auth |
Embodied Cognition and Human-Machine Coexistence |
abstract |
Recently, we discussed the relative importance of direct perception, embodiment, metaphors, and ethics for cooperative human-machine coexistence. The present paper deepens the examination of embodiment and direct perception by considering differences between computational and representational models on one hand and embodied cognition on the other. We found that to achieve true artificial intelligence (AI) and, hence, a cooperative human-machine coexistence, research must overcome the limitations of computational and representational models. This can be reached by connecting machines to the world through bodies that exhibit sensory and motor skills as demonstrated by embodied cognition. Furthermore, substantial improvement in AI could be achieved by adopting a hybrid framework in which embodied cognition, for example, may contain representational, abstract, and symbolic aspects. The adoption of such a “both and” instead of “either or” view is a more realistic approach for progress in AI applications. |
abstractGer |
Recently, we discussed the relative importance of direct perception, embodiment, metaphors, and ethics for cooperative human-machine coexistence. The present paper deepens the examination of embodiment and direct perception by considering differences between computational and representational models on one hand and embodied cognition on the other. We found that to achieve true artificial intelligence (AI) and, hence, a cooperative human-machine coexistence, research must overcome the limitations of computational and representational models. This can be reached by connecting machines to the world through bodies that exhibit sensory and motor skills as demonstrated by embodied cognition. Furthermore, substantial improvement in AI could be achieved by adopting a hybrid framework in which embodied cognition, for example, may contain representational, abstract, and symbolic aspects. The adoption of such a “both and” instead of “either or” view is a more realistic approach for progress in AI applications. |
abstract_unstemmed |
Recently, we discussed the relative importance of direct perception, embodiment, metaphors, and ethics for cooperative human-machine coexistence. The present paper deepens the examination of embodiment and direct perception by considering differences between computational and representational models on one hand and embodied cognition on the other. We found that to achieve true artificial intelligence (AI) and, hence, a cooperative human-machine coexistence, research must overcome the limitations of computational and representational models. This can be reached by connecting machines to the world through bodies that exhibit sensory and motor skills as demonstrated by embodied cognition. Furthermore, substantial improvement in AI could be achieved by adopting a hybrid framework in which embodied cognition, for example, may contain representational, abstract, and symbolic aspects. The adoption of such a “both and” instead of “either or” view is a more realistic approach for progress in AI applications. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ |
container_issue |
1 |
title_short |
Embodied Cognition and Human-Machine Coexistence |
url |
https://doi.org/10.25079/ukhjse.v1n1y2017.pp67-71 https://doaj.org/article/763cf321295d402294a138fb712cf733 https://journals.ukh.edu.krd/index.php/ukhjse/article/view/20 https://doaj.org/toc/2520-7792 |
remote_bool |
true |
author2 |
Oussama H. Hamid |
author2Str |
Oussama H. Hamid |
ppnlink |
1760611549 |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.25079/ukhjse.v1n1y2017.pp67-71 |
up_date |
2024-07-03T23:34:09.879Z |
_version_ |
1803602781671522304 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ067105351</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230309065136.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.25079/ukhjse.v1n1y2017.pp67-71</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ067105351</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ763cf321295d402294a138fb712cf733</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></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Norris L. Smith</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Embodied Cognition and Human-Machine Coexistence</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">Recently, we discussed the relative importance of direct perception, embodiment, metaphors, and ethics for cooperative human-machine coexistence. The present paper deepens the examination of embodiment and direct perception by considering differences between computational and representational models on one hand and embodied cognition on the other. We found that to achieve true artificial intelligence (AI) and, hence, a cooperative human-machine coexistence, research must overcome the limitations of computational and representational models. This can be reached by connecting machines to the world through bodies that exhibit sensory and motor skills as demonstrated by embodied cognition. Furthermore, substantial improvement in AI could be achieved by adopting a hybrid framework in which embodied cognition, for example, may contain representational, abstract, and symbolic aspects. The adoption of such a “both and” instead of “either or” view is a more realistic approach for progress in AI applications.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Embodied 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">Human-machine coexistence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Phenomenology</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Technology</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">T</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Science</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Q</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Oussama H. Hamid</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">UKH Journal of Science and Engineering</subfield><subfield code="d">Univeristy of Kurdistan Hewler, 2019</subfield><subfield code="g">1(2017), 1</subfield><subfield code="w">(DE-627)1760611549</subfield><subfield code="x">25207792</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:1</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:1</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.25079/ukhjse.v1n1y2017.pp67-71</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/763cf321295d402294a138fb712cf733</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://journals.ukh.edu.krd/index.php/ukhjse/article/view/20</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2520-7792</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="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">1</subfield><subfield code="j">2017</subfield><subfield code="e">1</subfield></datafield></record></collection>
|
score |
7.398052 |