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Computational Creativity Research: Towards Creative Machines

Overview of attention for book
Computational Creativity Research: Towards Creative Machines
Atlantis Press

Table of Contents

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    Book Overview
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    Chapter 1 Stakeholder Groups in Computational Creativity Research and Practice
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    Chapter 2 Weak and Strong Computational Creativity
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    Chapter 3 Theorem: General Intelligence Entails Creativity, Assuming $$\ldots $$ …
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    Chapter 4 The Computational Creativity Complex
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    Chapter 5 How Models of Creativity and Analogy Need to Answer the Tailorability Concern
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    Chapter 6 On the Role of Computers in Creativity-Support Systems
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    Chapter 7 IDyOT: A Computational Theory of Creativity as Everyday Reasoning from Learned Information
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    Chapter 8 Accounting for Creativity Within a Psychologically Realistic Cognitive Architecture
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    Chapter 9 E Pluribus Unum
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    Chapter 10 Ode to a Keatsian Turn: Creating Meaningful and Poetic Instances of Rhetorical Forms
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    Chapter 11 Open-Ended Elaborations in Creative Metaphor
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    Chapter 12 Poetry Generation with PoeTryMe
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    Chapter 13 From MEXICA to MEXICA-Impro: The Evolution of a Computer Model for Plot Generation
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    Chapter 14 Handle: Engineering Artificial Musical Creativity at the “Trickery” Level
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    Chapter 15 Computational Creativity and Music
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    Chapter 16 A Culinary Computational Creativity System
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    Chapter 17 Interactive Meta-Reasoning: Towards a CAD-Like Environment for Designing Game-Playing Agents
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    Chapter 18 Collective Discovery Events: Web-Based Mathematical Problem-Solving with Codelets
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    Chapter 19 A Personal Perspective into the Future for Computational Creativity
Attention for Chapter 9: E Pluribus Unum
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Citations

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Chapter title
E Pluribus Unum
Chapter number 9
Book title
Computational Creativity Research: Towards Creative Machines
Published by
Atlantis Press, Paris, January 2015
DOI 10.2991/978-94-6239-085-0_9
Book ISBNs
978-9-46-239084-3, 978-9-46-239085-0
Authors

Oliver Kutz, John Bateman, Fabian Neuhaus, Till Mossakowski, Mehul Bhatt, Kutz, Oliver, Bateman, John, Neuhaus, Fabian, Mossakowski, Till, Bhatt, Mehul

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Student > Master 1 20%
Student > Postgraduate 1 20%
Professor > Associate Professor 1 20%
Readers by discipline Count As %
Social Sciences 3 60%
Business, Management and Accounting 1 20%
Engineering 1 20%