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We review some modern theories about the structure of space and time, in particular those related to discrete space and time. Following an epistemological method we start from theories which discuss discrete space and time as a mathematical…

General Relativity and Quantum Cosmology · Physics 2007-05-23 M. Lorente

This paper is about enabling robots to improve their perceptual performance through repeated use in their operating environment, creating local expert detectors fitted to the places through which a robot moves. We leverage the concept of…

Robotics · Computer Science 2017-08-14 Jeffrey Hawke , Alex Bewley , Ingmar Posner

Medical data range from genomic sequences and retinal photographs to structured laboratory results and unstructured clinical narratives. Although these modalities appear disparate, many encode convergent information about a single…

Quantitative Methods · Quantitative Biology 2025-06-06 Salil Patel

We address the problem of learning representations from observations of a scene involving an agent and an external object the agent interacts with. To this end, we propose a representation learning framework extracting the location in…

Machine Learning · Computer Science 2023-09-12 Alfredo Reichlin , Giovanni Luca Marchetti , Hang Yin , Anastasiia Varava , Danica Kragic

In goal-directed behavior, a large number of possible initial states end up in the pursued goal. The accompanying information loss implies that goal-oriented behavior is in one-to-one correspondence with an open subsystem whose entropy…

Neurons and Cognition · Quantitative Biology 2017-02-28 Ines Samengo

Bohr's dictum "Physical phenomena are observed relative to different experimental setups" is applied to a set of binary elements that represent the smallest units of information. A description relative to "macroscopic" setups of such…

General Physics · Physics 2007-05-23 Walter Smilga

Simple physical models of a measuring rod and of a clock are used to demonstrate the contraction of objects and clock retardation in special relativity. It is argued that the models could help in promoting student understanding of special…

Classical Physics · Physics 2015-05-13 D. J. Miller

The concept of privacy is inherently intertwined with human attitudes and behaviours, as most computer systems are primarily designed for human use. Especially in the case of Recommender Systems, which feed on information provided by…

Computers and Society · Computer Science 2018-05-23 Sanchit Alekh

This paper is an exploration of the nuanced realm of reference frames within the framework of General Relativity. Our analysis exposes a violation of Earman's SP1 principle in scenarios involving fields that are dynamically uncoupled, a…

History and Philosophy of Physics · Physics 2024-10-18 Nicola Bamonti , Henrique Gomes

The work lays the foundations of the theory of changeable sets. In author opinion, this theory, in the process of it's development and improvement, can become one of the tools of solving the sixth Hilbert problem least for physics of…

Mathematical Physics · Physics 2012-07-18 Ya. I. Grushka

A particular science is not only defined by its object of study, but also by the point of view and method under which it considers that same object. Taking space and time as an illustrative example, our main aim here is to bring out an…

History and Philosophy of Physics · Physics 2012-05-09 Mauricio Mondragon , Luis Lopez

Objects are made of parts, each with distinct geometry, physics, functionality, and affordances. Developing such a distributed, physical, interpretable representation of objects will facilitate intelligent agents to better explore and…

Computer Vision and Pattern Recognition · Computer Science 2018-09-14 Zhijian Liu , William T. Freeman , Joshua B. Tenenbaum , Jiajun Wu

The visual appearance of a moving object in special relativity can be constructed in a straightforward manner when representing the surface of the object, or at least a wire frame model of it, as a point cloud. The apparent position of each…

Computational Physics · Physics 2014-10-20 Thomas Müller , Sebastian Boblest

Object-based attention is a key component of the visual system, relevant for perception, learning, and memory. Neurons tuned to features of attended objects tend to be more active than those associated with non-attended objects. There is a…

Neurons and Cognition · Quantitative Biology 2021-06-09 Jordan Lei , Ari S. Benjamin , Konrad P. Kording

This essay considers a simple model of observers that are influenced by the world around them. Consistent quantification of information about such influences results in a great deal of familiar physics. The end result is a new perspective…

Quantum Physics · Physics 2013-08-16 Kevin H. Knuth

Anticipating the motion of all humans in dynamic environments such as homes and offices is critical to enable safe and effective robot navigation. Such spaces remain challenging as humans do not follow strict rules of motion and there are…

Robotics · Computer Science 2023-10-02 Tim Salzmann , Lewis Chiang , Markus Ryll , Dorsa Sadigh , Carolina Parada , Alex Bewley

In [1], the authors have studied stability of certain causal properties of space-times in general relativity. As a continuation of this work, in the present paper, we review and discuss, some more aspects of stability which occur in various…

General Relativity and Quantum Cosmology · Physics 2017-09-14 R V Saraykar , Sujatha Janardhan

Common-sense physical reasoning in the real world requires learning about the interactions of objects and their dynamics. The notion of an abstract object, however, encompasses a wide variety of physical objects that differ greatly in terms…

Machine Learning · Computer Science 2020-12-16 Aleksandar Stanić , Sjoerd van Steenkiste , Jürgen Schmidhuber

Despite its omnipresence in robotics application, the nature of spatial knowledge and the mechanisms that underlie its emergence in autonomous agents are still poorly understood. Recent theoretical works suggest that the Euclidean structure…

Machine Learning · Computer Science 2019-09-18 Alban Laflaquière , Michael Garcia Ortiz

Autonomous agents, particularly in the field of robotics, rely on sensory information to perceive and navigate their environment. However, these sensory inputs are often imperfect, leading to distortions in the agent's internal…

Robotics · Computer Science 2025-07-11 David Warutumo , Ciira wa Maina