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Generative art is a rules-driven approach to creating artistic outputs in various mediums. For example, a fluid simulation can govern the flow of colored pixels across a digital display or a rectangle placement algorithm can yield a…

Neural and Evolutionary Computing · Computer Science 2024-07-30 Erik M. Fredericks , Denton Bobeldyk , Jared M. Moore

This paper outlines the implications of neural-level accounts of insight, and models of the conceptual interactions that underlie creativity, for a theory of cultural evolution. Since elements of human culture exhibit cumulative, adaptive,…

Neurons and Cognition · Quantitative Biology 2019-03-15 Liane Gabora

Generative AI is quickly becoming an integral part of people's everyday workflows. Early evidence has shown that while generative AI can increase individual-level productivity, it does so at the cost of collective diversity, potentially…

Human-Computer Interaction · Computer Science 2026-04-07 Nathanael Jo , Manish Raghavan

Immersion in a creative task can be an intimate experience. It can feel like a mystery: intangible, inexplicable, and beyond the reach of science. However, science is making exciting headway into understanding creativity. While the mind of…

Neurons and Cognition · Quantitative Biology 2019-07-09 Alexandra Maland , Liane Gabora

This paper explains in layperson's terms how an agent-based model was used to investigate the hypothesis that culture evolves more effectively when novelty-generating creative processes are tempered by imitation processes that preserve…

Multiagent Systems · Computer Science 2015-02-14 Liane Gabora

Musical Metacreation tries to obtain creative behaviors from computers algorithms composing music. In this paper I briefly analyze how this field evolved from algorithmic composition to be focused on the search for creativity, and I point…

Sound · Computer Science 2022-09-01 Filippo Carnovalini

The ideas that we forge creatively as individuals and groups build on one another in a manner that is cumulative and adaptive, forming open-ended lineages across space and time. Thus, human culture is believed to evolve. The pervasiveness…

Neurons and Cognition · Quantitative Biology 2019-07-09 Liane Gabora , Mike Unrau

Three decades of empirical research in high-performing software development teams provides evidence that creativity can be promoted by an effective, disciplined development culture. This paper describes 'contrasting' as a key driver for…

Software Engineering · Computer Science 2025-03-11 Marian Petre , Mary Shaw

Cumulative cultural evolution is what made humanity to thrive in various ecological and demographic environments. Solutions to the tasks that humans needed to solve could be mapped onto a task space which could take the form of either…

Computers and Society · Computer Science 2020-07-09 Masaki Suyama , Kosuke Sato

The matching of the soundtrack in a movie or a video can have an enormous influence in the message being conveyed and its impact, in the sense of involvement and engagement, and ultimately in their aesthetic and entertainment qualities. Art…

Multimedia · Computer Science 2013-04-10 Jorge Gomes , Fernando Silva , Teresa Chambel

Online communities have been able to develop large, open-source software (OSS) projects like Linux and Firefox throughout the successful collaborations carried out by their members over the Internet. However, online communities also involve…

Human-Computer Interaction · Computer Science 2021-07-30 Fabio Calefato , Giuseppe Iaffaldano , Filippo Lanubile

As a first step towards studying the ability of human crowds and machines to effectively co-create, we explore several human-only collaborative co-creation scenarios. The goal in each scenario is to create a digital sketch using a simple…

Artificial Intelligence · Computer Science 2020-05-25 Devi Parikh , C. Lawrence Zitnick

Reliance on generative AI can reduce cultural variance and diversity, especially in creative work. This reduction in variance has already led to problems in model performance, including model collapse and hallucination. In this paper, we…

Artificial Intelligence · Computer Science 2026-02-04 Qiankun Zhong , Thomas F. Eisenmann , Julian Garcia , Iyad Rahwan

One of the fundamental questions of cultural evolutionary research is how individual-level processes scale up to generate population-level patterns. Previous studies in music have revealed that frequency-based bias (e.g. conformity and…

Applications · Statistics 2019-07-01 Mason Youngblood

To stretch a music piece to a given length is a common demand in people's daily lives, e.g., in audio-video synchronization and animation production. However, it is not always guaranteed that the stretched music piece is acceptable for…

Multimedia · Computer Science 2017-01-13 Jun Chen , Chaokun Wang

Structured generation, the process of producing content in standardized formats like JSON and XML, is widely utilized in real-world applications to extract key output information from large language models (LLMs). This study investigates…

Computation and Language · Computer Science 2024-10-15 Zhi Rui Tam , Cheng-Kuang Wu , Yi-Lin Tsai , Chieh-Yen Lin , Hung-yi Lee , Yun-Nung Chen

Even this saying itself is a variant of a similar statement attributed to Bernard of Chartres in the 12th Century, and inspired the title for a book by Steven Hawking and an album by Oasis. Creative ideas beget other creative ideas and, as…

Populations and Evolution · Quantitative Biology 2019-03-15 Liane Gabora

Culture evolves following a process that is akin to biological evolution, although with some significant differences. At the same time culture has often a collective good value for human groups. This paper studies culture in an evolutionary…

Populations and Evolution · Quantitative Biology 2010-02-08 Giangiacomo Bravo

Musical counterpoint, a musical technique in which two or more independent melodies are played simultaneously with the goal of creating harmony, has been around since the baroque era. However, to our knowledge computational generation of…

Sound · Computer Science 2012-07-25 Jeffrey Power Jacobs , James Reggia

Large Language Models (LLMs) show promise in lyric-to-melody generation, but models trained with Supervised Fine-Tuning (SFT) often produce musically implausible melodies with issues like poor rhythm and unsuitable vocal ranges, a…

Sound · Computer Science 2026-04-21 Hao Meng , Siyuan Zheng , Shuran Zhou , Qiangqiang Wang , Yang Song