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Engaging in interactions with peers is important for student learning. Many studies have quantified patterns of student interactions in in-person physics courses using social network analysis, finding different network structures between…

Physics Education · Physics 2024-05-03 Meagan Sundstrom , Andy Schang , Ashley B. Heim , N. G. Holmes

A stream of conscious experience is extremely contextual; it is impacted by sensory stimuli, drives and emotions, and the web of associations that link, directly or indirectly, the subject of experience to other elements of the individual's…

Neurons and Cognition · Quantitative Biology 2013-10-30 Diederik Aerts , Jan Broekaert , Liane Gabora

The authors investigate how teaching art and astronomy together has the potential to inspire new art forms, enhance scientific public outreach, and promote art and science education. The authors teach an astro-animation class at the…

Physics Education · Physics 2022-01-20 Laurence Arcadias , Robin H. D. Corbet

Break-in' Point, a 2012 arts and science performance and community engagement research initiative, was presented in the spring and fall semesters at the University of Leeds in the United Kingdom at Stage@Leeds. The outcome of a…

Physics Education · Physics 2022-08-19 Carol Marie Webster , Panagiotis Pantidos , DeNapoli Clarke , Jiannis K. Pachos

We have analysed the many facets of Consciousness into two distinct categories. First: the organisational state of the neural networks at any one time, which determines whether a person is conscious - awake, or unconscious - asleep. Second:…

Neurons and Cognition · Quantitative Biology 2009-07-14 Charles Ross , Shirley Redpath

Since the early 2000s, cultural institutions have been instrumental in reshaping public spaces, fostering community engagement, and nurturing artistic innovation. Central to these initiatives are audience interaction and participation…

Human-Computer Interaction · Computer Science 2024-06-21 Varvara Guljajeva , Mar Canet Sola

Deep learning has generated diverse perspectives in astronomy, with ongoing discussions between proponents and skeptics motivating this review. We examine how neural networks complement classical statistics, extending our data analytical…

Instrumentation and Methods for Astrophysics · Physics 2026-05-07 Yuan-Sen Ting

At the intersection of what I call uncomputable art and computational epistemology, a form of experimental philosophy, we find an exciting and promising area of science related to causation with an alternative, possibly best possible,…

Other Computer Science · Computer Science 2021-09-20 Hector Zenil

The representations of the world around in physics built with help of causality are analyzed and seems incomplete. The observer's causal representations form a closed logical system, i.e. the compact group related to cause-effect chains.…

General Physics · Physics 2010-11-02 A. V. Novikov-Borodin

Humans interact through numerous channels to build and maintain social connections: they meet face-to-face, initiate phone calls or send text messages, and interact via social media. Although it is known that the network of physical…

Social and Information Networks · Computer Science 2016-11-16 Enys Mones , Arkadiusz Stopczynski , Sune Lehmann

In this paper we quantify our limited information horizon, by measuring the information necessary to locate specific nodes in a network. To investigate different ways to overcome this horizon, and the interplay between communication and…

Disordered Systems and Neural Networks · Physics 2015-06-25 M. Rosvall , K. Sneppen

This study provides insights into the quantitative similarities, differences and relationships between users' spatial, face-to-face, urban social networks and their transpatial, online counterparts. We explore and map the social ties within…

Computers and Society · Computer Science 2013-06-06 Vassilis Kostakos

The computational role of imagination remains debated. While classical accounts emphasize reward maximization, emerging evidence suggests it accesses internal world models (IWMs). We employ psychological network analysis to compare IWMs in…

Artificial Intelligence · Computer Science 2026-02-11 Saurabh Ranjan , Brian Odegaard

Neural networks should be interpretable to humans. In particular, there is a growing interest in concepts learned in a layer and similarity between layers. In this work, a tool, UMAP Tour, is built to visually inspect and compare internal…

Human-Computer Interaction · Computer Science 2021-10-19 Mingwei Li , Carlos Scheidegger

We propose visual creations that put differences in algorithms and humans \emph{perceptions} into perspective. We exploit saliency maps of neural networks and visual focus of humans to create diptychs that are reinterpretations of an…

Graphics · Computer Science 2021-02-16 Vivien Cabannes , Thomas Kerdreux , Louis Thiry

Shape information is crucial for human perception and cognition, and should therefore also play a role in cognitive AI systems. We employ the interdisciplinary framework of conceptual spaces, which proposes a geometric representation of…

Machine Learning · Computer Science 2021-11-17 Lucas Bechberger , Kai-Uwe Kühnberger

Attention is a complex and broad concept, studied across multiple disciplines spanning artificial intelligence, cognitive science, psychology, neuroscience, and related fields. Although many of the ideas regarding attention do not…

Artificial Intelligence · Computer Science 2020-12-07 Shriraj P. Sawant , Shruti Singh

Connectivity enabled by technologies such as the Internet of Things, Artificial Intelligence, Big Data, and Cloud Computing is rapidly transforming our interactions with the world and with each other. It reshapes social interactions,…

Human-Computer Interaction · Computer Science 2025-04-01 Jun Hu , Mengru Xue , Cheng Yao , Yuan Feng , Jiabao Li , Preben Hansen

We analyse the way in which the principle that 'the whole is greater than the sum of its parts' manifests itself with phenomena of visual perception. For this investigation we use insights and techniques coming from quantum cognition, and…

Computer Vision and Pattern Recognition · Computer Science 2018-02-08 Jonito Aerts Arguelles

Sensemaking and narrative are two inherently interconnected concepts about how people understand the world around them. Sensemaking is the process by which people structure and interconnect the information they encounter in the world with…

Artificial Intelligence · Computer Science 2022-01-26 Zev Battad , Mei Si