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Poster
in
Workshop: Workshop on Theory of Mind in Communicating Agents

Inferring the Future by Imagining the Past

Kartik Chandra · Tony Chen · Tzu-Mao Li · Jonathan Ragan-Kelley · Josh Tenenbaum

Keywords: [ theory of mind ] [ Inverse Planning ] [ Monte Carlo ]


Abstract:

A single panel of a comic book can say a lot: it shows not only where characters currently are, but also where they came from, what their motivations are, and what might happen next. More generally, humans can often infer a complex sequence of past and future events from a single snapshot image of an intelligent agent.Building on recent work in cognitive science, we offer a Monte Carlo algorithm for making such inferences. Drawing a connection to Monte Carlo path tracing in computer graphics, we borrow ideas that help us dramatically improve upon prior work in sample efficiency. This allows us to scale to a wide variety of challenging inference problems with only a handful of samples. It also suggests some degree of cognitive plausibility, and indeed we present human subject studies showing that our algorithm matches human intuitions in a variety of domains that previous methods could not scale to.

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