Aug 4, 2022 · Here we present a principled Bayesian solution to this benchmark, based on a hierarchically Bayesian Theory of Mind (HBToM).
Abstract—To facilitate the development of new models to bridge the gap between machine and human social intelligence, the recently proposed Baby Intuitions ...
This approach achieves near-perfect accuracy on most benchmark tasks, outperforming deep learning and imitation learning baselines while producing ...
This approach achieves near-perfect accuracy on most benchmark tasks, outperforming deep learning and imitation learning baselines while producing interpretable ...
Aug 4, 2022 · This approach achieves near-perfect accuracy on most benchmark tasks, outperforming deep learning and imitation learning baselines while ...
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Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind ... To facilitate the development of new models to bridge the gap between ...
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind. T Zhi-Xuan, N Gothoskar, F Pollok, D Gutfreund, JB Tenenbaum, ... RSS ...
The Baby Intuitions Benchmark (BIB) challenges machines to predict the plausibility of an agent's behavior based on the underlying causes of its actions, ...
In this paper, we introduce a cognitive model of epistemic language interpretation, grounded in Bayesian inferences about other agents' goals, beliefs, and ...
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind ... To facilitate the development of new models to bridge the gap between ...