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This paper presents a new computational model of creative outcomes, informed by creativity theories and techniques, which was implemented to generate more novel opportunities for innovation projects. The model implemented five functions…

Artificial Intelligence · Computer Science 2025-10-24 Neil Maiden , Konstantinos Zachos , James Lockerbie , Kostas Petrianakis , Amanda Brown

Social agents both internalize collective norms and reshape them through creative action, yet computational models have not captured this bidirectional process within a unified framework. We propose a multi-agent simulation model grounded…

Multiagent Systems · Computer Science 2026-04-13 Kentaro Nomura , Takato Horii

Brainstorming is an effective technique for offline ideation although the number of participants able to join an ideation session and suggest ideas is limited. To increase the diversity and quality of the ideas suggested, many participants…

Human-Computer Interaction · Computer Science 2021-10-08 Nobuo Namura , Tatsuya Hasebe

People often create art by following an artistic workflow involving multiple stages that inform the overall design. If an artist wishes to modify an earlier decision, significant work may be required to propagate this new decision forward…

Computer Vision and Pattern Recognition · Computer Science 2020-07-15 Hung-Yu Tseng , Matthew Fisher , Jingwan Lu , Yijun Li , Vladimir Kim , Ming-Hsuan Yang

This paper explores the attributes necessary to determine the creative merit of intermediate artifacts produced during a computational co-creative process (CCC) in which a human and an artificial intelligence system collaborate in the…

Computers and Society · Computer Science 2024-11-27 Juan Salamanca , Daniel Gómez-Marín , Sergi Jordà

Divergent thinking in the ideation stage of creative problem-solving demands that individuals explore a broad design space. Yet this exploration rarely follows a neat, linear sequence; problem-solvers constantly shift among searching,…

Human-Computer Interaction · Computer Science 2025-09-26 Yaqing Yang , Vikram Mohanty , Nikolas Martelaro , Aniket Kittur , Yan-Ying Chen , Matthew K. Hong

The human brain's computational prowess emerges not despite but because of its inherent "non-ideal factors"-noise, heterogeneity, structural irregularities, decentralized plasticity, systemic errors, and chaotic dynamics-challenging…

Neurons and Cognition · Quantitative Biology 2026-01-13 Da-Zheng Feng , Hao-Xuan Du

The main power of artificial intelligence is not in modeling what we already know, but in creating solutions that are new. Such solutions exist in extremely large, high-dimensional, and complex search spaces. Population-based search…

Neural and Evolutionary Computing · Computer Science 2021-02-16 Risto Miikkulainen

Whether a population of decision-making individuals will reach a state of satisfactory decisions is a fundamental problem in studying collective behaviors. In the framework of evolutionary game theory and by means of potential functions,…

Multiagent Systems · Computer Science 2022-01-13 Negar Sakhaei , Zeinab Maleki , Pouria Ramazi

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

In order to create new products, inventors search and combine previous ideas. Few studies have examined the characteristics of search that lead to new products; most have focused on patent citations, which are often retrospective and may…

Human-Computer Interaction · Computer Science 2013-11-05 Harris Kyriakou , Jeffrey V. Nickerson

Creative image generation has emerged as a compelling area of research, driven by the need to produce novel and high-quality images that expand the boundaries of imagination. In this work, we propose a novel framework for creative…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Kunpeng Song , Ahmed Elgammal

Design is fundamental to software development but can be demanding to perform. Thus to assist the software designer, evolutionary computing is being increasingly applied using machine-based, quantitative fitness functions to evolve software…

Software Engineering · Computer Science 2012-10-04 Christopher L. Simons , Ian C. Parmee

We study building embodied agents for open-ended creative tasks. While existing methods build instruction-following agents that can perform diverse open-ended tasks, none of them demonstrates creativity -- the ability to give novel and…

Artificial Intelligence · Computer Science 2025-12-29 Penglin Cai , Chi Zhang , Yuhui Fu , Haoqi Yuan , Zongqing Lu

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

The standard view that creativity entails both originality and appropriateness leads to the paradox that experts who converge on one optimal solution are rated as no more creative than beginners who give many original solutions. This paper…

Adaptation and Self-Organizing Systems · Physics 2019-07-11 Liane Gabora

The game interactions among individuals in nature are often uncertain and dynamically evolving, significantly influencing the persistence of cooperation. However, it remains a formidable challenge to effectively characterize these dynamic…

Computer Science and Game Theory · Computer Science 2026-03-24 Bin Pi , Minyu Feng , Liang-Jian Deng , Xiaojie Chen , Attila Szolnoki

This study explores the application of evolutionary generative algorithms in music production to preserve and enhance human creativity. By integrating human feedback into Differential Evolution algorithms, we produced six songs that were…

Neural and Evolutionary Computing · Computer Science 2024-06-11 Justin Kilb , Caroline Ellis

Culture involves the origination and transmission of ideas, but the conditions in which culture can emerge and evolve are unclear. We constructed and studied a highly simplified neural-network model of these processes. In this model ideas…

Neurons and Cognition · Quantitative Biology 2023-10-16 Kingsley J. A. Cox , Paul R. Adams

One of the fundamental principles driving diversity or homogeneity in domains such as cultural differentiation, political affiliation, and product adoption is the tension between two forces: influence (the tendency of people to become…

Computer Science and Game Theory · Computer Science 2015-10-28 David Kempe , Jon Kleinberg , Sigal Oren , Aleksandrs Slivkins
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