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Creativity, defined as the tendency to generate or recognize new ideas or alternatives and to make connections between seemingly unrelated phenomena, is too vast a horizon to be summed up in such a simple sentence. The extreme abstractness…

Neurons and Cognition · Quantitative Biology 2017-02-28 Souparno Roy , Archi Banerjee , Ranjan Sengupta , Dipak Ghosh

Creativity serves as a cornerstone for societal progress and innovation. With the rise of advanced generative AI models capable of tasks once reserved for human creativity, the study of AI's creative potential becomes imperative for its…

"If it could be demonstrated that any complex organ existed, which could not possibly have been formed by numerous successive, slight modifications, my theory would absolutely break down". Can Darwinian random mutations and selection…

General Physics · Physics 2015-03-19 A. Sengupta

The issue of whether we make decisions freely has vexed philosophers for millennia, Resolving this is vital for solving a diverse range of problems, from the physiology of how the brain makes decisions (and how we assign moral…

History and Philosophy of Physics · Physics 2025-06-30 Tim Palmer

Assessing human creativity through visual outputs, such as drawings, plays a critical role in fields including psychology, education, and cognitive science. However, current assessment practices still rely heavily on expert-based subjective…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Zihao Lin , Zhenshan Shi , Sasa Zhao , Hanwei Zhu , Lingyu Zhu , Baoliang Chen , Lei Mo

The research on the brain mechanism of creativity mainly has two aspects, one is the creative thinking process, and the other is the brain structure and functional connection characteristics of highly creative people. The billions of nerve…

Neurons and Cognition · Quantitative Biology 2022-08-23 Tong Wang

At any moment in time, evolution is faced with a formidable challenge: refining the already highly optimised design of biological species, a feat accomplished through all preceding generations. In such a scenario, the impact of random…

Populations and Evolution · Quantitative Biology 2024-02-20 Alessandro Fontana , Marios Kyriazis

We propose, in this article, an analysis of the Darwin's approach to sociality. Sociality is perfectly integrated into the selective model, and is caused by the same process as struggle for existence. Thus, the selective process does not…

Populations and Evolution · Quantitative Biology 2008-08-01 Gérald Fournier

Wagner's modularity inducing problem domain is a key contribution to the study of the evolution of modularity, including both evolutionary theory and evolutionary computation. We study its behavior under classical genetic algorithms. Unlike…

Neural and Evolutionary Computing · Computer Science 2018-08-17 Zhenyue Qin , Robert McKay , Tom Gedeon

Darwin's book, Origin of the Species has been a source of public controversy for more than hundred and fifty years. Court cases and mountains of words have not dispelled this controversy. In this paper, a quantitative approach using simple…

Populations and Evolution · Quantitative Biology 2010-06-04 Vernon Williams

The recent explosion of "foundation" generative AI models has been built upon the extensive extraction of value from online sources, often without corresponding reciprocation. This pattern mirrors and intensifies the extractive practices of…

Computers and Society · Computer Science 2025-02-13 Philip Feldman , James R. Foulds , Shimei Pan

Scientific discovery begins with ideas, yet evaluating early-stage research concepts is a subtle and subjective human judgment. As large language models (LLMs) are increasingly tasked with generating scientific hypotheses, most systems…

Human-Computer Interaction · Computer Science 2026-03-26 Lingyu Zhang , Mitchell Wang , Boyuan Chen

Deterministic inference is a comforting ideal in classical software: the same program on the same input should always produce the same output. As large language models move into real-world deployment, this ideal has been imported wholesale…

Artificial Intelligence · Computer Science 2026-01-13 Tanmay Joshi , Shourya Aggarwal , Anusa Saha , Aadi Pandey , Shreyash Dhoot , Vighnesh Rai , Raxit Goswami , Aman Chadha , Vinija Jain , Amitava Das

An inductive learning algorithm takes a set of data as input and generates a hypothesis as output. A set of data is typically consistent with an infinite number of hypotheses; therefore, there must be factors other than the data that…

Machine Learning · Computer Science 2007-05-23 Peter D. Turney

The human ability to learn rules and solve problems has been a central concern of cognitive science research since the field's earliest days. But we do not just follow rules and solve problems given to us by others: we modify those rules,…

The recent surge of Large Language Models (LLMs) has led to claims that they are approaching a level of creativity akin to human capabilities. This idea has sparked a blend of excitement and apprehension. However, a critical piece that has…

Computation and Language · Computer Science 2025-07-03 Antoine Bellemare-Pepin , François Lespinasse , Philipp Thölke , Yann Harel , Kory Mathewson , Jay A. Olson , Yoshua Bengio , Karim Jerbi

Creative writing has long been considered a uniquely human endeavor, requiring voice and style that machines could not replicate. This assumption is challenged by Generative AI that can emulate thousands of author styles in seconds with…

Artificial Intelligence · Computer Science 2026-01-27 Tuhin Chakrabarty , Paramveer S. Dhillon

There is cognitive, neurological, and computational support for the hypothesis that defocusing attention results in divergent or associative thought, conducive to insight and finding unusual connections, while focusing attention results in…

Neurons and Cognition · Quantitative Biology 2019-07-02 Liane Gabora

Natural selection successfully explains how organisms accumulate adaptive change despite that traits acquired over a lifetime are eliminated at the end of each generation. However, in some domains that exhibit cumulative, adaptive change --…

Populations and Evolution · Quantitative Biology 2024-10-03 Liane Gabora , Mike Steel

Bionic design refers to an approach of generative creativity in which a target object (e.g. a floor lamp) is designed to contain features of biological source objects (e.g. flowers), resulting in creative biologically-inspired design. In…

Computer Vision and Pattern Recognition · Computer Science 2018-05-22 Simiao Yu , Hao Dong , Pan Wang , Chao Wu , Yike Guo
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