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Mental rotation -- the ability to compare objects seen from different viewpoints -- is a fundamental example of mental simulation and spatial world modeling in humans. Here we propose a mechanistic model of human mental rotation, leveraging…

Neurons and Cognition · Quantitative Biology 2026-05-29 Raymond Khazoum , Daniela Fernandes , Aleksandr Krylov , Qin Li , Stephane Deny

A model predicting the structure of repulsive, spherically symmetric, monodisperse particles confined between two walls is presented. We study the buckling transition of a single flat layer as the double layer state develops. Experimental…

Condensed Matter · Physics 2009-10-22 T Chou , David R. Nelson

This paper studies a risk-sensitive decision-making problem under uncertainty. It considers a decision-making process that unfolds over a fixed number of stages, in which a decision-maker chooses among multiple alternatives, some of which…

Optimization and Control · Mathematics 2026-01-07 Chung-Han Hsieh , Yi-Shan Wong

Bell non-local correlations cannot be naturally explained in a fixed causal structure. This serves as a motivation for considering models where no global assumption is made beyond logical consistency. The assumption of a fixed causal order…

Quantum Physics · Physics 2016-04-06 Ämin Baumeler , Stefan Wolf

People infer rich social information from others' actions. These inferences are often constrained by the physical world: what agents can do, what obstacles permit, and how the physical actions of agents causally change an environment and…

Neurons and Cognition · Quantitative Biology 2026-03-31 Lance Ying , Aydan Y. Huang , Aviv Netanyahu , Andrei Barbu , Boris Katz , Joshua B. Tenenbaum , Tianmin Shu

Many have dedicated their time trying to determine the ideal conditions for a cylinder to have equal probabilities of falling with one of its faces facing upwards or on its side. However, to this day, there is no concrete analysis of what…

Classical Physics · Physics 2023-11-30 M. N. C. Brustelo , M. M. Vivaldi , F. Marques

Stability of equilibrium states in mechanical systems with multiple unilateral frictional contacts is an important practical requirement, with high relevance for robotic applications. In our previous work, we theoretically analyzed…

Robotics · Computer Science 2021-03-09 Yizhar Or , Peter L. Varkonyi

Physics-based manipulation in clutter involves complex interaction between multiple objects. In this paper, we consider the problem of learning, from interaction in a physics simulator, manipulation skills to solve this multi-step…

Robotics · Computer Science 2019-07-29 Wissam Bejjani , Mehmet R. Dogar , Matteo Leonetti

To reach human performance on complex tasks, a key ability for artificial systems is to understand physical interactions between objects, and predict future outcomes of a situation. This ability, often referred to as intuitive physics, has…

Computer Vision and Pattern Recognition · Computer Science 2020-05-04 Ronan Riochet , Josef Sivic , Ivan Laptev , Emmanuel Dupoux

Modelling emotion has become a challenge nowadays. Therefore, several models have been produced in order to express human emotional activity. However, only a few of them are currently able to express the close relationship existing between…

Artificial Intelligence · Computer Science 2009-11-13 Karim Mahboub , Evelyne Clément , Cyrille Bertelle , Véronique Jay

Even though classic theories and models of discrete choice pose man as a rational being, it has been shown extensively that people persistently violate rationality in their actual choices. Recent models of decision-making take these…

In order to safely operate around humans, robots can employ predictive models of human motion. Unfortunately, these models cannot capture the full complexity of human behavior and necessarily introduce simplifying assumptions. As a result,…

Learning physics is a context dependent process. I consider a broader interdisciplinary problem of where differences in understanding and reasoning arise. I suggest the long run effects a multiple choice based learning system as well as…

Physics Education · Physics 2013-07-04 C. M. Raduta

The accurate representation of epistemic uncertainty is a challenging yet essential task in machine learning. A widely used representation corresponds to convex sets of probabilistic predictors, also known as credal sets. One popular way of…

Machine Learning · Computer Science 2025-07-30 Mira Jürgens , Thomas Mortier , Eyke Hüllermeier , Viktor Bengs , Willem Waegeman

This paper formally proposes a problem about the efficient utilization of the four dimensional space-time. Given a cuboid container, a finite number of rigid cuboid items, and the time length that each item should be continuous baked in the…

Computational Complexity · Computer Science 2015-01-26 Wenqi Huang , Kun He

3D object detection and pose estimation from a single image are two inherently ambiguous problems. Oftentimes, objects appear similar from different viewpoints due to shape symmetries, occlusion and repetitive textures. This ambiguity in…

Computer Vision and Pattern Recognition · Computer Science 2019-08-21 Fabian Manhardt , Diego Martin Arroyo , Christian Rupprecht , Benjamin Busam , Tolga Birdal , Nassir Navab , Federico Tombari

We calculate stable arrangements for a single superfluid vortex pinned to the wall of a stationary cylindrical container. We find that, independent of the details of the pinning site, stable vortices must subtend most of the cell…

Condensed Matter · Physics 2007-05-23 R. J. Zieve , L. A. K. Donev

Humans have the ability to report the contents of their subjective experience - we can say to each other, "I am aware of X". The decision processes that support these reports about mental contents remain poorly understood. In this article I…

Neurons and Cognition · Quantitative Biology 2019-12-04 Stephen M. Fleming

Entanglement swapping, the process to entangle two particles without coupling them in any way, is one of the most striking manifestations of the quantum-mechanical nonlocal characteristic. Besides fundamental interest, this process has…

In the modern quantum mechanics of cosmology observers are physical systems within the universe. They have no preferred role in the formulation of the theory nor in its predictions of third person probabilities of what occurs. However,…

General Relativity and Quantum Cosmology · Physics 2018-01-18 James Hartle , Thomas Hertog
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