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At the core of our uniquely human cognitive abilities is the capacity to see things from different perspectives, or to place them in a new context. We propose that this was made possible by two cognitive transitions. First, the large brain…

Neurons and Cognition · Quantitative Biology 2019-07-11 Liane Gabora , Kirsty Kitto

Generative AI, with its tendency to "hallucinate" incorrect results, may pose a risk to knowledge work by introducing errors. On the other hand, it may also provide unprecedented opportunities for users, particularly non-experts, to learn…

Human-Computer Interaction · Computer Science 2024-12-20 Advait Sarkar , Xiaotong , Xu , Neil Toronto , Ian Drosos , Christian Poelitz

The current social reality is characterized by all-encompassing change, which disrupts existing social structures at all levels. Yet the prevailing view of society is based on the ontological primacy of stable hierarchical structures, which…

Computers and Society · Computer Science 2016-02-29 Viktoras Veitas , David Weinbaum

Promoting creativity is considered an important goal of education, but creativity is notoriously hard to measure.In this paper, we make the journey fromdefining a formal measure of creativity that is efficientlycomputable to applying the…

Human-Computer Interaction · Computer Science 2022-11-11 Anastasia Kovalkov , Benjamin Paaßen , Avi Segal , Niels Pinkwart , Kobi Gal

I postulate that human or other intelligent agents function or should function as follows. They store all sensory observations as they come - the data is holy. At any time, given some agent's current coding capabilities, part of the data is…

Artificial Intelligence · Computer Science 2007-09-06 Juergen Schmidhuber

Humans are adept at uncovering abstract associations in the world around them, yet the underlying mechanisms remain poorly understood. Intuitively, learning the higher-order structure of statistical relationships should involve complex…

Neurons and Cognition · Quantitative Biology 2020-03-26 Christopher W. Lynn , Ari E. Kahn , Nathaniel Nyema , Danielle S. Bassett

Large language models (LLMs) are increasingly shaping creative work and problem-solving; however, prior research suggests that they may diminish unassisted creativity. To address this tension, a coach-like LLM environment was developed that…

Human-Computer Interaction · Computer Science 2025-10-31 Alon Rosenbaum , Yigal David , Eran Kaufman , Gilad Ravid , Amit Ronen , Assaf Krebs

Significant challenges exist globally regarding literacy teaching and learning. To address these challenges, key features of how the brain works should be taken into account. First, perception is an active process based in detection of…

Neurons and Cognition · Quantitative Biology 2021-05-25 George Ellis , Carole Bloch

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

Curiosity is the strong desire to learn or know more about something or someone. Since learning is often a social endeavor, social dynamics in collaborative learning may inevitably influence curiosity. There is a scarcity of research,…

Human-Computer Interaction · Computer Science 2017-10-24 Tanmay Sinha , Zhen Bai , Justine Cassell

Knowledge built culturally across generations allows humans to learn far more than an individual could glean from their own experience in a lifetime. Cultural knowledge in turn rests on language: language is the richest record of what…

Computation and Language · Computer Science 2021-12-17 Michael Henry Tessler , Jason Madeano , Pedro A. Tsividis , Brin Harper , Noah D. Goodman , Joshua B. Tenenbaum

Formalizing creativity-related concepts has been a long-term goal of Computational Creativity. To the same end, we explore Formal Learning Theory in the context of creativity. We provide an introduction to the main concepts of this…

Artificial Intelligence · Computer Science 2024-05-06 Luís Espírito Santo , Geraint Wiggins , Amílcar Cardoso

Humankind is entering a novel creative era in which anybody can synthesize digital information using generative artificial intelligence (AI). Text-to-image generation, in particular, has become vastly popular and millions of practitioners…

Computers and Society · Computer Science 2024-09-04 Jonas Oppenlaender

When we experience an event, it feels like our previous experiences, our interpretations of that event (e.g., aesthetics, emotions), and our current state will determine how we will remember it. However, recent work has revealed a strong…

Neurons and Cognition · Quantitative Biology 2021-04-15 Wilma A. Bainbridge

Infants are experts at playing, with an amazing ability to generate novel structured behaviors in unstructured environments that lack clear extrinsic reward signals. We seek to mathematically formalize these abilities using a neural network…

Machine Learning · Computer Science 2018-11-01 Nick Haber , Damian Mrowca , Li Fei-Fei , Daniel L. K. Yamins

Curriculum learning is a training method in which an agent is first trained on a curriculum of relatively simple tasks related to a target task in an effort to shorten the time required to train on the target task. Autonomous curriculum…

Machine Learning · Computer Science 2025-03-03 Muhammed Yusuf Satici , Jianxun Wang , David L. Roberts

If scientific discovery is one of the main driving forces of human progress, insight is the fuel for the engine, which has long attracted behavior-level research to understand and model its underlying cognitive process. However, current…

Artificial Intelligence · Computer Science 2022-12-06 Yu-Zhe Shi , Manjie Xu , Wenjuan Han , Yixin Zhu

Most creative outputs are readily classified as belonging to a particular domain such as art, music, or technology. But does that mean the creative thinking that goes into creative projects respects these conventional domain boundaries?…

Neurons and Cognition · Quantitative Biology 2019-07-17 Liane Gabora

Dual process models of cognition suggest there are two kinds of thought: rapid, automatic Type 1 processes, and effortful, controlled Type 2 processes. Models of creative thinking also distinguish between two sets of processes: those…

Neurons and Cognition · Quantitative Biology 2019-07-17 Paul Sowden , Andrew Pringle , Liane Gabora

The rapid evolution of artificial intelligence has led to expectations of transformative impact on science, yet current systems remain fundamentally limited in enabling genuine scientific discovery. This perspective contends that progress…

Artificial Intelligence · Computer Science 2025-12-16 Karthik Duraisamy