Systematizing Creativity: A Computational View

Veale, Tony; Cardoso, F. Amílcar; Pérez, Rafael Pérez y

doi:10.1007/978-3-319-43610-4_1

Cited by 17 publications

(13 citation statements)

References 13 publications

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“…But the belief became increasingly popular after Guilford, partly because of Guilford's role as an originator of modern creativity studies, and partly because of the rise of modern AI (which counts McColloch and Pitts as founding figures). Over the previous half‐century, computational approaches to human cognition have been adopted by many computer scientists, cognitive scientists, and psychologists, 125,126 and they have prompted creativity researchers to treat narrative as though it too is computational, reducible to the semantic processing and association of representational and symbolic content 26,64,127–130 …”

Section: A Theory Of Narrative Creativitymentioning

confidence: 99%

A new method for training creativity: narrative as an alternative to divergent thinking

Fletcher

Benveniste

2022

Annals of the New York Academy of Sciences

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Creativity is a major source of innovation, growth, adaptability, and psychological resilience, making it a top priority of governments, global corporations, educational institutions, and other organizations that collectively invest hundreds of millions of dollars annually into training. The current foundation of creativity training is the technique known as divergent thinking; yet for decades, concerns have been raised about the adequacy of divergent thinking: it is incongruent with the creative processes of children and most adult creatives, and it has failed to yield expected downstream results in creative production. In this article, we present an alternative approach to creativity training, based in neural processes different from those involved in divergent thinking and drawing upon a previously unused resource for creativity research: narrative theory. We outline a narrative theory of creativity training; illustrate with examples of training and assessment from our ongoing work with the U.S. Department of Defense, Fortune 50 companies, and graduate and professional schools; and explain how the theory can help fill prominent lacunae and gaps in existing creativity research, including the creativity of children, the psychological mechanisms of scientific and technological innovation, and the failure of computer artificial intelligence to replicate human creativity.

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Section: A Theory Of Narrative Creativitymentioning

confidence: 99%

A new method for training creativity: narrative as an alternative to divergent thinking

Fletcher

Benveniste

2022

Annals of the New York Academy of Sciences

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“…Its application researches include literature and art creation (such as stories, poetry, paintings, musical works, games), problem solving, and system design, etc. [ 156 , 157 ]. Some form of machine learning has been used in almost all the studies presented in this article.…”

Section: Perspective For the Futurementioning

confidence: 99%

The Application of Artificial Intelligence in the Genetic Study of Alzheimer’s Disease

Mishra¹,

Li²

2020

Aging and disease

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Alzheimer's disease (AD) is a neurodegenerative disease in which genetic factors contribute approximately 70% of etiological effects. Studies have found many significant genetic and environmental factors, but the pathogenesis of AD is still unclear. With the application of microarray and next-generation sequencing technologies, research using genetic data has shown explosive growth. In addition to conventional statistical methods for the processing of these data, artificial intelligence (AI) technology shows obvious advantages in analyzing such complex projects. This article first briefly reviews the application of AI technology in medicine and the current status of genetic research in AD. Then, a comprehensive review is focused on the application of AI in the genetic research of AD, including the diagnosis and prognosis of AD based on genetic data, the analysis of genetic variation, gene expression profile, gene-gene interaction in AD, and genetic analysis of AD based on a knowledge base. Although many studies have yielded some meaningful results, they are still in a preliminary stage. The main shortcomings include the limitations of the databases, failing to take advantage of AI to conduct a systematic biology analysis of multilevel databases, and lack of a theoretical framework for the analysis results. Finally, we outlook the direction of future development. It is crucial to develop high quality, comprehensive, large sample size, data sharing resources; a multi-level system biology AI analysis strategy is one of the development directions, and computational creativity may play a role in theory model building, verification, and designing new intervention protocols for AD.

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“…This is different from mere automation, where a given task is accomplished through a deterministic, traceable process and the designer knows what the output will be given his or her inputs. Consequently, the outcomes generated by autonomous tools are often perceived as being creative by humans (Boden, 2009;Veale, Cardoso, & y Pérez, 2019).…”

Section: The Key Elements Of Autonomous Design Toolsmentioning

confidence: 99%

Artificial Intelligence and Video Game Creation: A Framework for the New Logic of Autonomous Design

Seidel¹,

Berente

Lindberg³

et al. 2020

JDSR

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Autonomous, intelligent tools are reshaping all sorts of work practices, including innovative design work. These tools generate outcomes with little or no user intervention and produce designs of unprecedented complexity and originality, ushering profound changes to how organizations will design and innovate in future. In this paper, we formulate conceptual foundations to analyze the impact of autonomous design tools on design work. We proceed in two steps. First, we conceptualize autonomous design tools as ‘rational’ agents which will participate in the design process. We show that such agency can be realized through two separate approaches of information processing: symbolic and connectionist. Second, we adopt control theory to unpack the relationships between the autonomous design tools, human actors involved in the design, and the environment in which the tools operate. The proposed conceptual framework lays a foundation for studying the new kind of material agency of autonomous design tools in organizational contexts. We illustrate the analytical value of the proposed framework by drawing on two examples from the development of Ubisoft’s Ghost Recon Wildlands video game, which relied on such tools. We conclude this essay by constructing a tentative research agenda for the research into autonomous design tools and design work.

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Systematizing Creativity: A Computational View

Cited by 17 publications

References 13 publications

A new method for training creativity: narrative as an alternative to divergent thinking

A new method for training creativity: narrative as an alternative to divergent thinking

The Application of Artificial Intelligence in the Genetic Study of Alzheimer’s Disease

Artificial Intelligence and Video Game Creation: A Framework for the New Logic of Autonomous Design

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