Search Results for author: Elizabeth Spelke

Found 2 papers, 1 papers with code

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AGENT: A Benchmark for Core Psychological Reasoning

no code implementations • 24 Feb 2021 • Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth Spelke, Joshua B. Tenenbaum, Tomer D. Ullman

For machine agents to successfully interact with humans in real-world settings, they will need to develop an understanding of human mental life.

 Ranked #1 on Core Psychological Reasoning on AGENT

Core Psychological Reasoning

 
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Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations

1 code implementation • NeurIPS 2019 • Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth Spelke, Josh Tenenbaum, Tomer Ullman

We also present a new test set for measuring violations of physical expectations, using a range of scenarios derived from developmental psychology.

Scene Understanding

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