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Articles

People use fast and flat simulation to reason about new games

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By Katherine Collins, Cedegao E. Zhang, Lionel Wong, Graham Todd, Adrian Weller, Samuel J. Cheyette, Thomas L. Griffiths, Joshua B. Tenenbaum
| Nature Verified
Abstract Games have long been a microcosm for studying planning and reasoning in both natural and artificial intelligence, often focusing on expert-level or even super-human play1,2,3,4,5,6. But real life also pushes human intelligence along a different frontier, requiring people to flexibly navigate decision-making problems that they have never thought about before. Here we use novice gameplay to study how people reason about new problem settings.
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Large Language Models and Games: A Survey and Roadmap

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By Graham Todd, Sam Earle, Antonios Liapis, Marvin Zammit
| arXiv
arXiv:2402.18659 (cs) Download PDF HTML (experimental) Comments: Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC) Cite as: arXiv:2402.18659 [cs.CL] (or arXiv:2402.18659v1 [cs.CL] for this version) Submission history From: Antonios Liapis [ view email] [v1] Wed, 28 Feb 2024 19:09:08 UTC (8,163 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle...
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