Agents in the long game of AI: computational cognitive modeling for trustworthy, hybrid AI
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge, Massachusetts ; London, England
The MIT Press
[2024]
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| Subjects: | |
| Links: | https://doi.org/10.7551/mitpress/14940.001.0001 https://directory.doabooks.org/handle/20.500.12854/146778 |
| Physical Description: | 1 Online-Ressource (vii, 326 Seiten) Illustrationen |
| ISBN: | 9780262380355 9780262380348 |
| DOI: | 10.7551/mitpress/14940.001.0001 |
Staff View
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| indexdate | 2025-01-24T23:03:33Z |
| institution | BVB |
| isbn | 9780262380355 9780262380348 |
| language | English |
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| spellingShingle | McShane, Marjorie Joan 1967- Nirenburg, Sergei 1952- English, Jesse Agents in the long game of AI computational cognitive modeling for trustworthy, hybrid AI |
| title | Agents in the long game of AI computational cognitive modeling for trustworthy, hybrid AI |
| title_alt | Agents in the long game of artificial intelligence Computational cognitive modeling for trustworthy, hybrid artificial intelligence |
| title_auth | Agents in the long game of AI computational cognitive modeling for trustworthy, hybrid AI |
| title_exact_search | Agents in the long game of AI computational cognitive modeling for trustworthy, hybrid AI |
| title_full | Agents in the long game of AI computational cognitive modeling for trustworthy, hybrid AI Marjorie McShane, Sergei Nirenburg, and Jesse English |
| title_fullStr | Agents in the long game of AI computational cognitive modeling for trustworthy, hybrid AI Marjorie McShane, Sergei Nirenburg, and Jesse English |
| title_full_unstemmed | Agents in the long game of AI computational cognitive modeling for trustworthy, hybrid AI Marjorie McShane, Sergei Nirenburg, and Jesse English |
| title_short | Agents in the long game of AI |
| title_sort | agents in the long game of ai computational cognitive modeling for trustworthy hybrid ai |
| title_sub | computational cognitive modeling for trustworthy, hybrid AI |
| url | https://doi.org/10.7551/mitpress/14940.001.0001 https://directory.doabooks.org/handle/20.500.12854/146778 |
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