Towards a Pre-Newtonian Intuitive Physics of Object Collisions
نویسندگان
چکیده
Some researchers have argued that mass perception, causal ascriptions, and predictions in simple billiard ball interactions can be modeled as inductive Bayesian inference over a (noisy) Newtonian representation of the world. However, there are phenomena, such as the asymmetrical ascription of forces to colliding objects, that are conceptually incompatible with the symmetry of Newtonian physics. We propose that human inference in physical scenarios operates over a pre-Newtonian physical representation that is based on impetus intuitions. Impetus theories assume that object movements are caused by an internal force, impetus, that is transferred and reflected when objects collide with each other. Moreover, impetus interactions are inherently asymmetric. We present a mathematical model that implements impetus theory and show that the theory is well suited to model perceived causal asymmetry. Moreover, the theory can also explain phenomena that so far have been presented as unique evidence for (noisy) Newtonian representations.
منابع مشابه
Causal asymmetry and the intuitive physics of collision events
In the Michotte (1963) launching scenario, an object (X) moves toward a resting object (Y), eventually colliding with it. In the moment of contact, X stops und Y starts moving creating the strong impression that X caused Y’s motion and that X exerted a force on Y (but not vice versa). These asymmetries contradict the (symmetrical) laws of Newtonian mechanics, which are at the heart of the popul...
متن کاملParticle in Cell-Monte Carlo Collisions of a Plasma Column Driven by Surface Wave Plasma Discharges
In this work, applicability of Particle in Cell-Monte Carlo Collisions (PIC-MCC) simulation method for better understanding of the plasma physical mechanisms and real important aspects of a plasma column driven by surface wave plasma discharges that is used in plasma antennas is examined. Via the implementation of geometry and physical parameters of the plasma column to an Object Oriented PIC-M...
متن کاملA Bayesian Framework for Modeling Intuitive Dynamics
People have strong intuitions about the masses of objects and the causal forces that they exert upon one another. These intuitions have been explored through a variety of tasks, in particular judging the relative masses of objects involved in collisions and evaluating whether one object caused another to move. We present a single framework for explaining two types of judgments that people make ...
متن کاملLong Term Boundary Extrapolation for Deterministic Motion
We propose models for long-term prediction of boundaries that are learned from observations without making any strong model assumptions on objects or scene. We evaluate our approach in a billiard scenario that is only governed by the Newtonian laws of physics and is therefore fully deterministic. We argue that any model that succeeds in this task must have derived some notion of “intuitive phys...
متن کاملSources of uncertainty in intuitive physics
Recent work suggests that people predict how objects interact in a manner consistent with Newtonian physics, but with additional uncertainty. However, the sources of uncertainty have not been examined. In this study, we measure perceptual noise in initial conditions and stochasticity in the physical model used to make predictions. Participants predicted the trajectory of a moving object through...
متن کامل