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Computational Creativity

Overview of attention for book
Cover of 'Computational Creativity'

Table of Contents

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    Book Overview
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    Chapter 1 Systematizing Creativity: A Computational View
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    Chapter 2 A Framework for Description, Analysis and Comparison of Creative Systems
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    Chapter 3 Autonomous Intentionality in Computationally Creative Systems
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    Chapter 4 From Conceptual Mash-ups to Badass Blends: A Robust Computational Model of Conceptual Blending
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    Chapter 5 The Nuts and Bolts of Conceptual Blending: Multidomain Concept Creation with Divago
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    Chapter 6 Bisociative Knowledge Discovery for Cross-domain Literature Mining
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    Chapter 7 Computational Design, Analogy, and Creativity
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    Chapter 8 The Evaluation of Creative Systems
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    Chapter 9 Expectation-Based Models of Novelty for Evaluating Computational Creativity
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    Chapter 10 Evaluating Evaluation: Assessing Progress and Practices in Computational Creativity Research
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    Chapter 11 Computer-Supported Human Creativity and Human-Supported Computer Creativity in Language
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    Chapter 12 Representing Social Common-Sense Knowledge in MEXICA
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    Chapter 13 Exploring Quantitative Evaluations of the Creativity of Automatic Poets
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    Chapter 14 Multi-agent-based Models of Social Creativity
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    Chapter 15 Creative Systems: A Biological Perspective
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    Chapter 16 Breaking the Mould An Evolutionary Quest for Innovation Through Style Change
Attention for Chapter 2: A Framework for Description, Analysis and Comparison of Creative Systems
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Citations

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Chapter title
A Framework for Description, Analysis and Comparison of Creative Systems
Chapter number 2
Book title
Computational Creativity
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-319-43610-4_2
Book ISBNs
978-3-31-943608-1, 978-3-31-943610-4
Authors

Geraint A. Wiggins, Wiggins, Geraint A.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Professor 2 18%
Other 1 9%
Student > Doctoral Student 1 9%
Student > Master 1 9%
Other 1 9%
Unknown 3 27%
Readers by discipline Count As %
Computer Science 4 36%
Business, Management and Accounting 1 9%
Psychology 1 9%
Social Sciences 1 9%
Unknown 4 36%