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Titlebook: Computational Creativity; The Philosophy and E Tony Veale,F. Amílcar Cardoso Book 2019 Springer Nature Switzerland AG 2019 Artificial Intel

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發(fā)表于 2025-3-21 19:52:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Creativity
副標(biāo)題The Philosophy and E
編輯Tony Veale,F. Amílcar Cardoso
視頻videohttp://file.papertrans.cn/233/232221/232221.mp4
概述Computational Creativity (CC) explores the potential of machines to be creative in their own right.Canonical text for this new discipline, with impacts on entertainment, culture, science, education, d
叢書名稱Computational Synthesis and Creative Systems
圖書封面Titlebook: Computational Creativity; The Philosophy and E Tony Veale,F. Amílcar Cardoso Book 2019 Springer Nature Switzerland AG 2019 Artificial Intel
描述.Computational creativity is an emerging field of research within AI that focuses on the capacity of machines to both generate and evaluate novel outputs that would, if produced by a human, be considered creative. This book is intended to be a canonical text for this new discipline, through which researchers and students can absorb the philosophy of the field and learn its methods. After a comprehensive introduction to the idea of systematizing creativity the contributions address topics such as autonomous intentionality, conceptual blending, literature mining, computational design, models of novelty, evaluating progress in related research, computer-supported human creativity and human-supported computer creativity, common-sense knowledge, and models of social creativity..Products of this research will have real consequences for the worlds of entertainment, culture, science, education, design, and art, in addition to artificial intelligence, and the book will be of value to practitioners and students in all these domains..
出版日期Book 2019
關(guān)鍵詞Artificial Intelligence (AI); Computational Creativity; Creativity; Autonomous Intentionality; Conceptua
版次1
doihttps://doi.org/10.1007/978-3-319-43610-4
isbn_ebook978-3-319-43610-4Series ISSN 2509-6575 Series E-ISSN 2509-6583
issn_series 2509-6575
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

書目名稱Computational Creativity影響因子(影響力)




書目名稱Computational Creativity影響因子(影響力)學(xué)科排名




書目名稱Computational Creativity網(wǎng)絡(luò)公開(kāi)度




書目名稱Computational Creativity網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Computational Creativity被引頻次




書目名稱Computational Creativity被引頻次學(xué)科排名




書目名稱Computational Creativity年度引用




書目名稱Computational Creativity年度引用學(xué)科排名




書目名稱Computational Creativity讀者反饋




書目名稱Computational Creativity讀者反饋學(xué)科排名




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沙發(fā)
發(fā)表于 2025-3-21 23:15:07 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:43:55 | 只看該作者
From Conceptual Mash-ups to Badass Blends: A Robust Computational Model of Conceptual Blending,to ourselves and to others every day. By acquiring its world knowledge from the questions of others, a computer can eventually learn to pose introspective questions of its own, in the service of its own creative ..
地板
發(fā)表于 2025-3-22 07:25:42 | 只看該作者
Breaking the Mould An Evolutionary Quest for Innovation Through Style Change,s, which includes retraining the classifier, sets the system into a permanent quest for novelty and innovation. The experimental results obtained across several iterations are presented and analysed, showing the ability of the system to consistently produce novel imagery and to identify atypical images.
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https://doi.org/10.1007/978-3-030-16924-4nse knowledge (CSK) that includes social features is a useful tool in this endeavour. This chapter describes how MEXICA, a plot generator, exploits such social CSK to generate narratives avoiding the use of predefined story structures. The results suggest that this is a promising approach.
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David I. Levy,K. Kitz,M. Killer,B. Richlingals. We base this on cognitive science research that shows this behaviour during creative design in humans. We present formal notation for a simple model of expectation, and give examples from our implementations in the domains of product design and culinary creativity.
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Bisociative Knowledge Discovery for Cross-domain Literature Mining,ext mining, addressing cross-domain literature-based discovery. Two approaches are briefly outlined: the CrossBee approach to cross-domain bridgingterm detection, and the OntoGen approach to bridging-term detection through outlier document exploration.
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