Academic Journal

Modeling human intuitions about liquid flow with particle-based simulation.

التفاصيل البيبلوغرافية
العنوان: Modeling human intuitions about liquid flow with particle-based simulation.
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
الوصف
تدمد:1553734X
15537358
DOI:10.1371/journal.pcbi.1007210