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Creativity, i.e., the process of generating and developing fresh and original ideas or products that are useful or effective, is a valuable skill in a variety of domains. Creativity is called an essential 21st-century skill that should be…

Information Retrieval · Computer Science 2022-10-13 Nasrin Shabani

The work investigates the influence of leader's strategy on opinion formation in artificial networked societies. The strength of the social influence is assumed to be dictated by distance from one agent to another, as well as individual…

Disordered Systems and Neural Networks · Physics 2007-05-23 Pawel Sobkowicz

Human creativity is a multifaceted phenomenon with cognitive, attitudinal, intrapersonal interpersonal, practical, socio-cultural, economic, and environmental aspects. It can be challenging to incorporate creativity in classrooms. Teachers…

Neurons and Cognition · Quantitative Biology 2013-10-14 Apara Ranjan , Liane Gabora

It is widely assumed that increases in economic productivity necessarily lead to economic growth. In this paper, it is shown that this is not always the case. An idealized model of an economy is presented in which a new technology allows…

General Economics · Economics 2024-11-26 Casey O. Barkan

The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notion of machine culture, culture mediated or generated by…

Theory and empirical research on management teams' influence on firm performance have witnessed continuous development, and by now incorporate numerous details. Classic, experiment-based studies examining social systems collect vast amount…

Multiagent Systems · Computer Science 2026-04-24 Tamás Kiss

Human culture relies on collective innovation: our ability to continuously explore how existing elements in our environment can be combined to create new ones. Language is hypothesized to play a key role in human culture, driving individual…

Artificial Intelligence · Computer Science 2024-07-09 Eleni Nisioti , Sebastian Risi , Ida Momennejad , Pierre-Yves Oudeyer , Clément Moulin-Frier

Developing AI literacy is increasingly urgent as generative AI reshapes creative practice. Yet most AI literacy frameworks are top-down and expert-driven, overlooking how literacy emerges organically in creative communities. To address this…

Human-Computer Interaction · Computer Science 2026-03-11 Haidan Liu , Poorvi Bhatia , Nicholas Vincent , Parmit Chilana

Are world models a necessary ingredient for flexible, goal-directed behaviour, or is model-free learning sufficient? We provide a formal answer to this question, showing that any agent capable of generalizing to multi-step goal-directed…

Artificial Intelligence · Computer Science 2025-10-21 Jonathan Richens , David Abel , Alexis Bellot , Tom Everitt

The agent-based modelling community has a debate on how ``intelligent'' artificial agents should be, and in what ways their local intelligence relates to the emergence of a collective intelligence. I approach this debate by endowing the…

Systems and Control · Electrical Eng. & Systems 2025-11-10 Guido Fioretti

A model is proposed for the creation and transmission of scientific knowledge, based on the network of citations among research articles. The model allows to assign to each article a nonnegative value for its creativity, i. e. its creation…

Physics and Society · Physics 2007-05-23 Jose M. Soler

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

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

Generative artificial intelligence (GenAI) is increasingly used to support a wide range of human tasks, yet empirical evidence on its effect on creativity remains scattered. Can GenAI generate ideas that are creative? To what extent can it…

Human-Computer Interaction · Computer Science 2025-05-26 Niklas Holzner , Sebastian Maier , Stefan Feuerriegel

Artificial intelligence (AI) systems capable of generating creative outputs are reshaping our understanding of creativity. This shift presents an opportunity for creativity researchers to reevaluate the key components of the creative…

Computers and Society · Computer Science 2024-12-09 Jaan Aru

In the current study,we propose that, in the era of generative AI, there is now a new form of literacy called "prompt literacy," which refers to the ability to generate precise prompts as input for AI systems, interpret the outputs, and…

Human-Computer Interaction · Computer Science 2023-11-10 Yohan Hwang , Jang Ho Lee , Dongkwang Shin

Recent advances in large language models have led to strong performance on reasoning and environment-interaction tasks, yet their ability for creative problem-solving remains underexplored. We study this capability through the lens of…

Since the emergence of generative AI, creative workers have spoken up about the career-based harms they have experienced arising from this new technology. A common theme in these accounts of harm is that generative AI models are trained on…

Human-Computer Interaction · Computer Science 2025-01-22 Lin Kyi , Amruta Mahuli , M. Six Silberman , Reuben Binns , Jun Zhao , Asia J. Biega

Human culture is uniquely cumulative and open-ended. Using a computational model of cultural evolution in which neural network based agents evolve ideas for actions through invention and imitation, we tested the hypothesis that this is due…

Multiagent Systems · Computer Science 2019-07-17 Liane Gabora , Maryam Saberi

Eliciting reasoning has emerged as a powerful technique for improving the performance of large language models (LLMs) on complex tasks by inducing thinking. However, their effectiveness in realistic user-engaged agent scenarios remains…

Computation and Language · Computer Science 2026-02-10 Jiatong Li , Changdae Oh , Hyeong Kyu Choi , Jindong Wang , Sharon Li
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