Computational creativity beyond machine learning-Reference-Cited by-同舟云学术

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Computational creativity beyond machine learning

Published:2020-12 Issue: Volume:34-35 Page:52-53
ISSN:1571-0645
Container-title:Physics of Life Reviews
language:en
Short-container-title:Physics of Life Reviews

Author:

Toivonen Hannu^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Physics and Astronomy,General Agricultural and Biological Sciences

Reference7 articles.

1. The creative mind: myths and mechanisms;Boden,2004

2. Society, culture and person: a systems view of creativity;Csikszentmihalyi,1988

3. Conceptual spaces: the geometry of thought;Gärdenfors,2000

4. The creative vision: a longitudinal study of problem finding in art;Getzels,1976

5. Developing creativity: artificial barriers in artificial intelligence;Jennings;Minds Mach,2010

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1. Melody generation based on deep ensemble learning using varying temporal context length;Multimedia Tools and Applications;2024-02-02

2. Finding contrasting patterns in rhythmic properties between prose and poetry;Physica A: Statistical Mechanics and its Applications;2022-07

3. Using a Bi-Directional Long Short-Term Memory Model with Attention Mechanism Trained on MIDI Data for Generating Unique Music;Artificial Intelligence for Data Science in Theory and Practice;2022

4. Response to commentaries on “Creativity, information, consciousness: The information dynamics of thinking”;Physics of Life Reviews;2020-12

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