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Related papers: Curiosity and Pleasure

200 papers

Curiosity is a vital metacognitive skill in educational contexts, leading to creativity, and a love of learning. And while many school systems increasingly undercut curiosity by teaching to the test, teachers are increasingly interested in…

Machine Learning · Computer Science 2022-04-04 Tanmay Sinha , Zhen Bai , Justine Cassell

Learning underlies nearly all human behavior and is central to education and education reform. Although recent advances in neuroscience have revealed the fundamental structure of learning processes, these insights have yet to be integrated…

Information Theory · Computer Science 2025-10-20 Scott E. Allen , A. David Redish , René F. Kizilcec

This article addresses an open problem in the area of cognitive systems and architectures: namely the problem of handling (in terms of processing and reasoning capabilities) complex knowledge structures that can be at least plausibly…

Artificial Intelligence · Computer Science 2015-11-30 Antonio Lieto

The Mozart effect refers to scientific data on short-term improvement on certain mental tasks after listening to Mozart, and also to its popularized version that listening to Mozart makes you smarter (Tomatis, 1991; Wikipedia, 2012). Does…

Neurons and Cognition · Quantitative Biology 2012-09-19 Leonid Perlovsky , Arnaud Cabanac , Marie-Claude Bonniot-Cabanac , Michel Cabanac

While bibliometrics are widely used for research evaluation purposes, a common theoretical framework for conceptually understanding, empirically studying, and effectively teaching its usage is lacking. In this paper, we outline such a…

Digital Libraries · Computer Science 2019-06-26 Lutz Bornmann , Julian N. Marewski

Curiosity is one of the main motives in many of the natural creatures with measurable levels of intelligence for exploration and, as a result, more efficient learning. It makes it possible for humans and many animals to explore efficiently…

Machine Learning · Computer Science 2023-08-01 Amir Ramezani Dooraki , Alexandros Iosifidis

Hierarchical abstraction and curiosity-driven exploration are two common paradigms in current reinforcement learning approaches to break down difficult problems into a sequence of simpler ones and to overcome reward sparsity. However, there…

Machine Learning · Computer Science 2020-08-18 Frank Röder , Manfred Eppe , Phuong D. H. Nguyen , Stefan Wermter

We feel happy when web-browsing operations provide us with necessary information; otherwise, we feel bitter. How to measure this happiness (or bitterness)? How does the profile of happiness grow and decay during the course of web-browsing?…

Human-Computer Interaction · Computer Science 2015-05-13 Anirban Banerji , Aniket Magarkar

Deviating from conventional perspectives that frame artificial intelligence (AI) systems solely as logic emulators, we propose a novel program of heuristic reasoning. We distinguish between the 'instrumental' use of heuristics to match…

Artificial Intelligence · Computer Science 2024-03-19 Anirban Mukherjee , Hannah Hanwen Chang

This book discusses computational curiosity, from the psychology of curiosity to the computational models of curiosity, and then showcases several interesting applications of computational curiosity. A brief overview of the book is given as…

Artificial Intelligence · Computer Science 2015-02-18 Qiong Wu

Neuroaesthetics is an interdisciplinary field that brings together neuroscience, psychology, and the arts to explore how the human brain perceives and responds to visual beauty. This paper examines the neural mechanisms behind aesthetic…

Human-Computer Interaction · Computer Science 2025-07-17 Harish Vijayakumar

The question of how humans solve problem has been addressed extensively. However, the direct study of the effectiveness of this process seems to be overlooked. In this paper, we address the issue of the effectiveness of human problem…

Artificial Intelligence · Computer Science 2018-04-26 Frantisek Duris

One of the bottlenecks on the way towards recursively self-improving systems is the challenge of interestingness: the ability to prospectively identify which tasks or data hold the potential for future progress. We formalize interestingness…

Artificial Intelligence · Computer Science 2026-05-15 Vincent Herrmann , Jürgen Schmidhuber

Curiosity-based reward schemes can present powerful exploration mechanisms which facilitate the discovery of solutions for complex, sparse or long-horizon tasks. However, as the agent learns to reach previously unexplored spaces and the…

Research on cognitive biases and heuristics has become increasingly popular in the visualization literature in recent years. Researchers have studied the effects of biases on visualization interpretation and subsequent decision-making.…

Human-Computer Interaction · Computer Science 2025-03-07 Ali Baigelenov , Prakash Shukla , Zixu Zhang , Paul Parsons

Which social decisions are influenced by intuitive processes? Which by deliberative processes? The dual-process approach to human sociality has emerged in the last decades as a vibrant and exciting area of research. Yet, a perspective that…

Physics and Society · Physics 2023-11-07 Valerio Capraro

The origin and meaning of facial beauty represent a longstanding puzzle. Despite the profuse literature devoted to facial attractiveness, its very nature, its determinants and the nature of inter-person differences remain controversial…

Neurons and Cognition · Quantitative Biology 2019-06-12 Miguel Ibáñez-Berganza , Ambra Amico , Vittorio Loreto

In recent years there has been growing evidence that even after teaching designed to address the learning difficulties dictated by literature, many physics learners fail to create the proper reasoning chains that connect the fundamental…

Physics Education · Physics 2023-11-14 Dimitrios Gousopoulos

When searching for policies, reward-sparse environments often lack sufficient information about which behaviors to improve upon or avoid. In such environments, the policy search process is bound to blindly search for reward-yielding…

Neural and Evolutionary Computing · Computer Science 2023-07-18 Paul-Antoine Le Tolguenec , Emmanuel Rachelson , Yann Besse , Dennis G. Wilson

A physicalistic argument can support the idea that cognition is an emergent property driven by dissipation. This argument suggests that cognition arises not from any fiat desire to understand the world, but rather because a certain type of…

General Physics · Physics 2024-01-03 Karl Svozil