Inspired by cognitive development studies on intuitive psychology, we present a benchmark consisting of a large dataset of procedurally generated 3D animations, AGENT (Action, Goal, Efficiency, coNstraint, uTility), structured around four scenarios (goal preferences, action efficiency, unobserved constraints, and cost-reward trade-offs) that probe key concepts of core intuitive psychology.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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AGENT
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BIPaCK
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Papers
| Paper | Code | Results | Date | Stars |
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