Thomas L. Griffiths

Sep 17, 2024 | nature.com | Thomas L. Griffiths

Nature (Nature) ISSN 1476-4687 (online) ISSN 0028-0836 (print)

Jun 20, 2024 | nature.com | Kelsey Allen |Franziska Brändle |Matthew Botvinick |Judith E. Fan |Samuel J. Gershman |Alison Gopnik | +14 more

AbstractBoard, card or video games have been played by virtually every individual in the world. Games are popular because they are intuitive and fun. These distinctive qualities of games also make them ideal for studying the mind. By being intuitive, games provide a unique vantage point for understanding the inductive biases that support behaviour in more complex, ecological settings than traditional laboratory experiments.

Jan 30, 2024 | arxiv.org | Thomas L. Griffiths

arXiv:2401.16646 (cs) Download PDF HTML (experimental) Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI) Cite as: arXiv:2401.16646 [cs.CL] (or arXiv:2401.16646v1 [cs.CL] for this version) https://doi.org/10.48550/arXiv.2401.16646 Submission history From: Jian-Qiao Zhu [ view email] [v1] Tue, 30 Jan 2024 00:40:49 UTC (600 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite...

Nov 19, 2023 | nature.com | Levin Brinkmann |Maxime Derex |Anne-Marie Nussberger |Thomas L. Griffiths |Joseph Henrich |Joel Z. Leibo | +1 more

AbstractThe ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notion of ‘machine culture’, culture mediated or generated by machines. We argue that intelligent machines simultaneously transform the cultural evolutionary processes of variation, transmission and selection. Recommender algorithms are altering social learning dynamics.

Sep 5, 2023 | arxiv.org | Shunyu Yao |Karthik Narasimhan |Thomas L. Griffiths

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