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Computer Science > Artificial Intelligence

arXiv:1707.08212 (cs)
[Submitted on 25 Jul 2017]

Title:Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints

Authors:Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussaint, Josh Tenenbaum
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Abstract:In this paper, we present a new task that investigates how people interact with and make judgments about towers of blocks. In Experiment~1, participants in the lab solved a series of problems in which they had to re-configure three blocks from an initial to a final configuration. We recorded whether they used one hand or two hands to do so. In Experiment~2, we asked participants online to judge whether they think the person in the lab used one or two hands. The results revealed a close correspondence between participants' actions in the lab, and the mental simulations of participants online. To explain participants' actions and mental simulations, we develop a model that plans over a symbolic representation of the situation, executes the plan using a geometric solver, and checks the plan's feasibility by taking into account the physical constraints of the scene. Our model explains participants' actions and judgments to a high degree of quantitative accuracy.
Subjects: Artificial Intelligence (cs.AI); Robotics (cs.RO); Machine Learning (stat.ML)
Cite as: arXiv:1707.08212 [cs.AI]
  (or arXiv:1707.08212v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.1707.08212

Submission history

From: Ilker Yildirim [view email]
[v1] Tue, 25 Jul 2017 20:44:18 UTC (2,557 KB)
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Ilker Yildirim
Tobias Gerstenberg
Basil Saeed
Marc Toussaint
Josh Tenenbaum
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