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Infants expect physical objects to be rigid and persist through space and time and in spite of occlusion. Developmentists frequently attribute these expectations to a "core system" for object recognition. However, it is unclear if this move…

Neurons and Cognition · Quantitative Biology 2023-09-14 Jan-Philipp Fränken , Christopher G. Lucas , Neil R. Bramley , Steven T. Piantadosi

We tackle the problem of consciousness by taking the naturally selected, embodied organism as our starting point. We provide a formalism describing how biological systems such as human bodies self-organize to hierarchically interpret…

Artificial Intelligence · Computer Science 2026-03-06 Michael Timothy Bennett , Sean Welsh , Anna Ciaunica

We examine the hypothesis that consciousness can be understood as a state of matter, "perceptronium", with distinctive information processing abilities. We explore five basic principles that may distinguish conscious matter from other…

Quantum Physics · Physics 2016-09-20 Max Tegmark

In this work we discuss a formal way of dealing with properties of contextual systems. Our approach is to assume that properties describing the same physical quantity, but belonging to different measurement contexts, are indistinguishable…

Quantum Physics · Physics 2019-06-24 José Acacio de Barros , Federico Holik , Décio Krause

In complex environments, there are costs to both ignorance and perception. An organism needs to track fitness-relevant information about its world, but the more information it tracks, the more resources it must devote to memory and…

Neurons and Cognition · Quantitative Biology 2018-10-17 Sarah E. Marzen , Simon DeDeo

To solve its task, a robot needs to have the ability to interpret its perceptions. In vision, this interpretation is particularly difficult and relies on the understanding of the structure of the scene, at least to the extent of its task…

Robotics · Computer Science 2019-01-31 Léni K. Le Goff , Ghanim Mukhtar , Alexandre Coninx , Stéphane Doncieux

A framework to analyze inference performance in densely connected single-layer feed-forward networks is developed for situations where a given data set is composed of correlated patterns. The framework is based on the assumption that the…

Information Theory · Computer Science 2009-11-13 Yoshiyuki Kabashima

Individual choices often depend on the order in which the decisions are made. In this paper, we expose a general theory of measurable systems (an example of which is an individual's preferences) allowing for incompatible (non-commuting)…

Physics and Society · Physics 2007-06-20 V. I. Danilov , A. Lambert-Mogiliansky

The Gibbs Paradox is essentially a set of open questions as to how sameness of gases or fluids (or masses, more generally) are to be treated in thermodynamics and statistical mechanics. They have a variety of answers, some restricted to…

History and Philosophy of Physics · Physics 2018-08-07 Simon Saunders

The common thread behind the recent Nobel Prize in Physics to John Hopfield and those conferred to Giorgio Parisi in 2021 and Philip Anderson in 1977 is disorder. Quoting Philip Anderson: "more is different". This principle has been…

Disordered Systems and Neural Networks · Physics 2025-10-16 Elena Agliari , Andrea Alessandrelli , Adriano Barra , Martino Salomone Centonze , Federico Ricci-Tersenghi

Active inference is emerging as a possible unifying theory of perception and action in cognitive and computational neuroscience. On this theory, perception is a process of inferring the causes of sensory data by minimising the error between…

Neurons and Cognition · Quantitative Biology 2022-03-10 Manuel Baltieri , Christopher L. Buckley

This paper considers neural representation through the lens of active inference, a normative framework for understanding brain function. It delves into how living organisms employ generative models to minimize the discrepancy between…

Neurons and Cognition · Quantitative Biology 2023-10-24 Giovanni Pezzulo , Leo D'Amato , Francesco Mannella , Matteo Priorelli , Toon Van de Maele , Ivilin Peev Stoianov , Karl Friston

The common wisdom in the field of quantum information theory is that when a system is initially correlated with its environment, the map describing its evolution may fail to be completely positive. If true, this would have practical and…

Quantum Physics · Physics 2019-08-21 David Schmid , Katja Ried , Robert W. Spekkens

The Gestalt laws of perceptual organization, which describe how visual elements in an image are grouped and interpreted, have traditionally been thought of as innate despite their ecological validity. We use deep-learning methods to…

Machine Learning · Computer Science 2020-07-01 Been Kim , Emily Reif , Martin Wattenberg , Samy Bengio , Michael C. Mozer

Current bioacoustic AI systems achieve impressive cross-species performance by processing animal communication through transformer architectures, foundation model paradigms, and other computational approaches. However, these approaches…

Artificial Intelligence · Computer Science 2025-11-13 Graham L. Bishop

Sensor configuration, including the sensor selections and their installation locations, serves a crucial role in autonomous driving. A well-designed sensor configuration significantly improves the performance upper bound of the perception…

Robotics · Computer Science 2021-04-15 Tao Ma , Zhizheng Liu , Yikang Li

Concept induction requires the extraction and naming of concepts from noisy perceptual experience. For supervised approaches, as the number of concepts grows, so does the number of required training examples. Philosophers, psychologists,…

Machine Learning · Computer Science 2020-01-20 Brett D. Roads , Bradley C. Love

In the field theories in physics, any particular region of the presumed space-time continuum and all interactions between elementary objects therein can be objectively measured and/or accounted for mathematically. Since this does not apply…

Neurons and Cognition · Quantitative Biology 2022-01-19 Birgitta Dresp-Langley

The inflationary hot big bang model of cosmology explains the birth of the universe, the appearance of atoms and that of large-scale structures, altogether omitting any reference to the living world. Yet, like the physical world, the living…

Biological Physics · Physics 2021-08-17 L. Wirtanen

Despite the presence of the classification task in many different benchmark datasets for perception in the automotive domain, few efforts have been undertaken to define consistent classification requirements. This work addresses the topic…

Computer Vision and Pattern Recognition · Computer Science 2023-07-27 Ken T. Mori , Trent Brown , Steven Peters