Mental Rotation as Bayesian Quadrature

نویسنده

  • Jessica B. Hamrick
چکیده

Given a computational resource–for example, the ability to visualize an object rotating–how do you best make use of it? We explored how mental simulation should be used in the classic psychological task of determining if two images depict the same object in different orientations. We compared two models on this mental rotation task, and found that a model based on an optimal experiment design for Bayesian quadrature is qualitatively more consistent with classic behavioral data than a simpler model. We suggest that rational models which adaptively exploit available resources are promising in their ability to characterize metacognitive processes like mental simulation.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimally-Weighted Herding is Bayesian Quadrature

Herding and kernel herding are deterministic methods of choosing samples which summarise a probability distribution. A related task is choosing samples for estimating integrals using Bayesian quadrature. We show that the criterion minimised when selecting samples in kernel herding is equivalent to the posterior variance in Bayesian quadrature. We then show that sequential Bayesian quadrature ca...

متن کامل

The effect of age and skill level on the mental rotation ability of girl swimmers

The aim of this study was to determine the effect of age and level of somersaults swimmerschr('39') on mental rotation ability. This study was conducted as a comparative causal with one-stage and post-event design. The statistical population was female swimmers in Shiraz who were trained in somersaults. Among them, 60 subjects were selected by purposive sampling method and then divided into fou...

متن کامل

Bayesian Quadrature for Ratios: Now With Even More Bayesian Quadrature

We describe a novel approach to quadrature for ratios of probabilistic integrals, such as are used to compute posterior probabilities. This approach offers performance superior to Monte Carlo methods by exploiting a Bayesian quadrature framework. We improve upon previous Bayesian quadrature techniques by explicitly modelling the nonnegativity of our integrands, and the correlations that exist b...

متن کامل

Handling accuracy in Bayesian automatic adaptive quadrature

New Bayesian inferences which significantly extend the coverage of the Bayesian automatic adaptive quadrature (BAAQ) approach to the solution of Riemann integrals are reported. The scrutiny of the possible floating-point machine number approximations of abscissa values inside an integration domain unveiled the occurrence of five classes of integration domains entering the quadrature problems: z...

متن کامل

Bayesian Quadrature for Ratios

We describe a novel approach to quadrature for ratios of probabilistic integrals, such as are used to compute posterior probabilities. This approach offers performance superior to Monte Carlo methods by exploiting a Bayesian quadrature framework. We improve upon previous Bayesian quadrature techniques by explicitly modelling the nonnegativity of our integrands, and the correlations that exist b...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013