Internal world models in humans, animals, and AI
How do brains—biological or artificial—respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper...
Gespeichert in:
| Veröffentlicht in: | Neuron (Cambridge, Mass.) Mass.), 2024-07, Vol.112 (14), p.2265-2268 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 2268 |
|---|---|
| container_issue | 14 |
| container_start_page | 2265 |
| container_title | Neuron (Cambridge, Mass.) |
| container_volume | 112 |
| creator | Diester, Ilka Bartos, Marlene Bödecker, Joschka Kortylewski, Adam Leibold, Christian Letzkus, Johannes Nour, Matthew M. Schönauer, Monika Straw, Andrew Valada, Abhinav Vlachos, Andreas Brox, Thomas |
| description | How do brains—biological or artificial—respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper insights into the underlying mechanisms.
How do brains—biological or artificial—respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper insights into the underlying mechanisms. |
| doi_str_mv | 10.1016/j.neuron.2024.06.019 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3082627389</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0896627324004549</els_id><sourcerecordid>3082627389</sourcerecordid><originalsourceid>FETCH-LOGICAL-c241t-2ce1a32c6701660da9507e5dd4b38441cd2c82c46ffdc63733c5be2c10222c543</originalsourceid><addsrcrecordid>eNp9kMtOwzAQRS0EoqXwBwhlyYKE8SNOvEGqKh6VKrGBtZXaE5EqcYrdgPh7XFJYspoZ6d6ZO4eQSwoZBSpvN5nDwfcuY8BEBjIDqo7IlIIqUkGVOiZTKJVMJSv4hJyFsAGgIlf0lEy4ih5F1ZTA0u3Qu6pNPnvf2qTrLbYhaVzyNnSVCzdJ5Zquan8am8yX5-SkjiNeHOqMvD7cvyye0tXz43IxX6WGCbpLmUFacWZkEbNKsJXKocDcWrHmpRDUWGZKZoSsa2skLzg3-RqZocAYM7ngM3I97t36_n3AsNNdEwy2beWwH4LmULL9a6WKUjFKje9D8FjrrY-Z_ZemoPes9EaPrPSelQapI6touzpcGNYd2j_TL5wouBsFkQh-NOh1MA06g7bxaHba9s3_F74BJJB6YA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3082627389</pqid></control><display><type>article</type><title>Internal world models in humans, animals, and AI</title><source>MEDLINE</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Diester, Ilka ; Bartos, Marlene ; Bödecker, Joschka ; Kortylewski, Adam ; Leibold, Christian ; Letzkus, Johannes ; Nour, Matthew M. ; Schönauer, Monika ; Straw, Andrew ; Valada, Abhinav ; Vlachos, Andreas ; Brox, Thomas</creator><creatorcontrib>Diester, Ilka ; Bartos, Marlene ; Bödecker, Joschka ; Kortylewski, Adam ; Leibold, Christian ; Letzkus, Johannes ; Nour, Matthew M. ; Schönauer, Monika ; Straw, Andrew ; Valada, Abhinav ; Vlachos, Andreas ; Brox, Thomas</creatorcontrib><description>How do brains—biological or artificial—respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper insights into the underlying mechanisms.
How do brains—biological or artificial—respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper insights into the underlying mechanisms.</description><identifier>ISSN: 0896-6273</identifier><identifier>ISSN: 1097-4199</identifier><identifier>EISSN: 1097-4199</identifier><identifier>DOI: 10.1016/j.neuron.2024.06.019</identifier><identifier>PMID: 39024919</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Animals ; Artificial Intelligence ; Brain - physiology ; Humans ; Models, Neurological ; Neurosciences</subject><ispartof>Neuron (Cambridge, Mass.), 2024-07, Vol.112 (14), p.2265-2268</ispartof><rights>2024</rights><rights>Copyright © 2024.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c241t-2ce1a32c6701660da9507e5dd4b38441cd2c82c46ffdc63733c5be2c10222c543</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.neuron.2024.06.019$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39024919$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Diester, Ilka</creatorcontrib><creatorcontrib>Bartos, Marlene</creatorcontrib><creatorcontrib>Bödecker, Joschka</creatorcontrib><creatorcontrib>Kortylewski, Adam</creatorcontrib><creatorcontrib>Leibold, Christian</creatorcontrib><creatorcontrib>Letzkus, Johannes</creatorcontrib><creatorcontrib>Nour, Matthew M.</creatorcontrib><creatorcontrib>Schönauer, Monika</creatorcontrib><creatorcontrib>Straw, Andrew</creatorcontrib><creatorcontrib>Valada, Abhinav</creatorcontrib><creatorcontrib>Vlachos, Andreas</creatorcontrib><creatorcontrib>Brox, Thomas</creatorcontrib><title>Internal world models in humans, animals, and AI</title><title>Neuron (Cambridge, Mass.)</title><addtitle>Neuron</addtitle><description>How do brains—biological or artificial—respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper insights into the underlying mechanisms.
How do brains—biological or artificial—respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper insights into the underlying mechanisms.</description><subject>Animals</subject><subject>Artificial Intelligence</subject><subject>Brain - physiology</subject><subject>Humans</subject><subject>Models, Neurological</subject><subject>Neurosciences</subject><issn>0896-6273</issn><issn>1097-4199</issn><issn>1097-4199</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMtOwzAQRS0EoqXwBwhlyYKE8SNOvEGqKh6VKrGBtZXaE5EqcYrdgPh7XFJYspoZ6d6ZO4eQSwoZBSpvN5nDwfcuY8BEBjIDqo7IlIIqUkGVOiZTKJVMJSv4hJyFsAGgIlf0lEy4ih5F1ZTA0u3Qu6pNPnvf2qTrLbYhaVzyNnSVCzdJ5Zquan8am8yX5-SkjiNeHOqMvD7cvyye0tXz43IxX6WGCbpLmUFacWZkEbNKsJXKocDcWrHmpRDUWGZKZoSsa2skLzg3-RqZocAYM7ngM3I97t36_n3AsNNdEwy2beWwH4LmULL9a6WKUjFKje9D8FjrrY-Z_ZemoPes9EaPrPSelQapI6touzpcGNYd2j_TL5wouBsFkQh-NOh1MA06g7bxaHba9s3_F74BJJB6YA</recordid><startdate>20240717</startdate><enddate>20240717</enddate><creator>Diester, Ilka</creator><creator>Bartos, Marlene</creator><creator>Bödecker, Joschka</creator><creator>Kortylewski, Adam</creator><creator>Leibold, Christian</creator><creator>Letzkus, Johannes</creator><creator>Nour, Matthew M.</creator><creator>Schönauer, Monika</creator><creator>Straw, Andrew</creator><creator>Valada, Abhinav</creator><creator>Vlachos, Andreas</creator><creator>Brox, Thomas</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20240717</creationdate><title>Internal world models in humans, animals, and AI</title><author>Diester, Ilka ; Bartos, Marlene ; Bödecker, Joschka ; Kortylewski, Adam ; Leibold, Christian ; Letzkus, Johannes ; Nour, Matthew M. ; Schönauer, Monika ; Straw, Andrew ; Valada, Abhinav ; Vlachos, Andreas ; Brox, Thomas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c241t-2ce1a32c6701660da9507e5dd4b38441cd2c82c46ffdc63733c5be2c10222c543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Animals</topic><topic>Artificial Intelligence</topic><topic>Brain - physiology</topic><topic>Humans</topic><topic>Models, Neurological</topic><topic>Neurosciences</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Diester, Ilka</creatorcontrib><creatorcontrib>Bartos, Marlene</creatorcontrib><creatorcontrib>Bödecker, Joschka</creatorcontrib><creatorcontrib>Kortylewski, Adam</creatorcontrib><creatorcontrib>Leibold, Christian</creatorcontrib><creatorcontrib>Letzkus, Johannes</creatorcontrib><creatorcontrib>Nour, Matthew M.</creatorcontrib><creatorcontrib>Schönauer, Monika</creatorcontrib><creatorcontrib>Straw, Andrew</creatorcontrib><creatorcontrib>Valada, Abhinav</creatorcontrib><creatorcontrib>Vlachos, Andreas</creatorcontrib><creatorcontrib>Brox, Thomas</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Neuron (Cambridge, Mass.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Diester, Ilka</au><au>Bartos, Marlene</au><au>Bödecker, Joschka</au><au>Kortylewski, Adam</au><au>Leibold, Christian</au><au>Letzkus, Johannes</au><au>Nour, Matthew M.</au><au>Schönauer, Monika</au><au>Straw, Andrew</au><au>Valada, Abhinav</au><au>Vlachos, Andreas</au><au>Brox, Thomas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Internal world models in humans, animals, and AI</atitle><jtitle>Neuron (Cambridge, Mass.)</jtitle><addtitle>Neuron</addtitle><date>2024-07-17</date><risdate>2024</risdate><volume>112</volume><issue>14</issue><spage>2265</spage><epage>2268</epage><pages>2265-2268</pages><issn>0896-6273</issn><issn>1097-4199</issn><eissn>1097-4199</eissn><abstract>How do brains—biological or artificial—respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper insights into the underlying mechanisms.
How do brains—biological or artificial—respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper insights into the underlying mechanisms.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>39024919</pmid><doi>10.1016/j.neuron.2024.06.019</doi><tpages>4</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0896-6273 |
| ispartof | Neuron (Cambridge, Mass.), 2024-07, Vol.112 (14), p.2265-2268 |
| issn | 0896-6273 1097-4199 1097-4199 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_3082627389 |
| source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
| subjects | Animals Artificial Intelligence Brain - physiology Humans Models, Neurological Neurosciences |
| title | Internal world models in humans, animals, and AI |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T09%3A30%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Internal%20world%20models%20in%20humans,%20animals,%20and%20AI&rft.jtitle=Neuron%20(Cambridge,%20Mass.)&rft.au=Diester,%20Ilka&rft.date=2024-07-17&rft.volume=112&rft.issue=14&rft.spage=2265&rft.epage=2268&rft.pages=2265-2268&rft.issn=0896-6273&rft.eissn=1097-4199&rft_id=info:doi/10.1016/j.neuron.2024.06.019&rft_dat=%3Cproquest_cross%3E3082627389%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3082627389&rft_id=info:pmid/39024919&rft_els_id=S0896627324004549&rfr_iscdi=true |