Academic Journal
Modeling human intuitions about liquid flow with particle-based simulation.
العنوان: | Modeling human intuitions about liquid flow with particle-based simulation. |
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المؤلفون: | Christopher J Bates, Ilker Yildirim, Joshua B Tenenbaum, Peter Battaglia |
المصدر: | PLoS Computational Biology, Vol 15, Iss 7, p e1007210 (2019) |
بيانات النشر: | Public Library of Science (PLoS), 2019. |
سنة النشر: | 2019 |
المجموعة: | LCC:Biology (General) |
مصطلحات موضوعية: | Biology (General), QH301-705.5 |
الوصف: | Humans can easily describe, imagine, and, crucially, predict a wide variety of behaviors of liquids-splashing, squirting, gushing, sloshing, soaking, dripping, draining, trickling, pooling, and pouring-despite tremendous variability in their material and dynamical properties. Here we propose and test a computational model of how people perceive and predict these liquid dynamics, based on coarse approximate simulations of fluids as collections of interacting particles. Our model is analogous to a "game engine in the head", drawing on techniques for interactive simulations (as in video games) that optimize for efficiency and natural appearance rather than physical accuracy. In two behavioral experiments, we found that the model accurately captured people's predictions about how liquids flow among complex solid obstacles, and was significantly better than several alternatives based on simple heuristics and deep neural networks. Our model was also able to explain how people's predictions varied as a function of the liquids' properties (e.g., viscosity and stickiness). Together, the model and empirical results extend the recent proposal that human physical scene understanding for the dynamics of rigid, solid objects can be supported by approximate probabilistic simulation, to the more complex and unexplored domain of fluid dynamics. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1553-734X 1553-7358 |
Relation: | https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358 |
DOI: | 10.1371/journal.pcbi.1007210 |
URL الوصول: | https://doaj.org/article/5e9235d5a701400f812fe5b35d6f3866 |
رقم الانضمام: | edsdoj.5e9235d5a701400f812fe5b35d6f3866 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 1553734X 15537358 |
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DOI: | 10.1371/journal.pcbi.1007210 |