Inferring mass in complex physical scenes via probabilistic simulation
نویسندگان
چکیده
Learning IPE p(r | Ft, St) / p(Ft | r, St)p(r) Does revise belief about mass: Fixed Belief IPE Does not revise belief about mass: p(r | Ft) = p(r) Models 7 Conclusions • Most conditions inferred the correct mass by Trial 8, and several even by Trial 1 • Interestingly: first few trials of random order, r=0.1 give evidence for the wrong mass (arrow) • Also, primacy effects: binary feedback can't recover from the confusing first few trials Can people infer mass in simple scenes? (2D, two-body collisions) • Previously: "invariants" or "heuristics", e.g. the object moving faster after a collision is lighter (Runeson et al., 2000; Gilden & Proffitt, 1989)
منابع مشابه
Running head: INFERRING MASS IN COMPLEX SCENES 1 Inferring Mass in Complex Scenes by Mental Simulation
After observing a collision between two boxes, you can immediately tell which is empty and which is full of books based on how the boxes moved. People form rich perceptions about the physical properties of objects from their interactions, an ability that plays a crucial role in learning about the physical world through our experiences. Here, we present three experiments that demonstrate people’...
متن کاملInterpreting Dynamic Scenes by a Physics Engine and Bottom-Up Visual Cues
Humans have the remarkable ability to infer many different physical properties of objects from observing dynamic scenes. Here, we propose a generative model for inferring physical object properties from real world videos of objects splashing in the water. At the core of our generative model is a 3D physics engine which models the object’s interactions with the environment based on parameters su...
متن کاملInferring mass in complex scenes by mental simulation.
After observing a collision between two boxes, you can immediately tell which is empty and which is full of books based on how the boxes moved. People form rich perceptions about the physical properties of objects from their interactions, an ability that plays a crucial role in learning about the physical world through our experiences. Here, we present three experiments that demonstrate people'...
متن کاملA Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding
Humans demonstrate remarkable abilities to predict physical events in complex scenes. Two classes of models for physical scene understanding have recently been proposed: “Intuitive Physics Engines”, or IPEs, which posit that people make predictions by running approximate probabilistic simulations in causal mental models similar in nature to video-game physics engines, and memory-based models, w...
متن کاملHybrid Probabilistic Search Methods for Simulation Optimization
Discrete-event simulation based optimization is the process of finding the optimum design of a stochastic system when the performance measure(s) could only be estimated via simulation. Randomness in simulation outputs often challenges the correct selection of the optimum. We propose an algorithm that merges Ranking and Selection procedures with a large class of random search methods for continu...
متن کامل