In Explaining Imagination. Oxford: pp. 262-296 (2020)
Authors |
|
Abstract |
Comparatively easy questions we might ask about creativity are distinguished from the hard question of explaining transformative creativity. Many have focused on the easy questions, offering no reason to think that the imagining relied upon in creative cognition cannot be reduced to more basic folk psychological states. The relevance of associative thought processes to songwriting is then explored as a means for understanding the nature of transformative creativity. Productive artificial neural networks—known as generative antagonistic networks (GANs)—are a recent example of how a system’s ability to generate novel products can both be finely tuned by prior experience and grounded in strategies that cannot be articulated by the system itself. Further, the kinds of processes exploited by GANs need not be seen as incorporating something akin to sui generis imaginative states. The chapter concludes with reflection on the added relevance of personal character to explanations of creativity. [This is Chapter 12 of the book Explaining Imagination.]
|
Keywords | creativity, imagination, generative adversarial network, songwriting |
Categories | (categorize this paper) |
Buy the book |
Find it on Amazon.com
|
Options |
![]() ![]() ![]() ![]() |
Download options
References found in this work BETA
Psychosemantics: The Problem of Meaning in the Philosophy of Mind.Jerry A. Fodor - 1987 - MIT Press.
Philosophical Investigations.Ludwig Josef Johann Wittgenstein - 1953 - New York, NY, USA: Wiley-Blackwell.
View all 214 references / Add more references
Citations of this work BETA
Making Imagination Even More Embodied: Imagination, Constraint and Epistemic Relevance.Zuzanna Rucińska & Shaun Gallagher - 2021 - Synthese 199 (3-4):8143-8170.
Similar books and articles
Measuring creativity: an account of natural and artificial creativity.Caterina Moruzzi - 2020 - European Journal for Philosophy of Science 11 (1):1-20.
Explaining Creativity.Maria Kronfeldner - 2018 - In Berys Gaut & Matthew Kieran (eds.), Routledge Handbook on Creativity and Philosophy. New York: Routledge. pp. 213-29.
Constraints and Creativity: In Search of Creativity Science.Feiwel Kupferberg - 2021 - Cambridge University Press.
What Are Neural Networks Not Good At? On Artificial Creativity.Anton Oleinik - 2019 - Big Data and Society 6 (1).
Imagination and Creativity.Dustin Stokes - 2016 - In Amy Kind (ed.), The Routledge Handbook of the Philosophy of Imagination. Routledge.
Special Topic: Confucian and Christian Conceptions of Creativity: A Christian View of Creativity: Creativity as God.Gordon D. Kaufman - 2007 - Dao: A Journal of Comparative Philosophy 6 (2):105-113.
First-Hand Experience of the Self Through Imagination.Contzen Pereira & J. Shashi Kiran Reddy - 2016 - Scientific GOD Journal 7 (1):51-52.
Critical Realism and Creativity: A Challenge to the Hegemony of Psychological Conceptions.Lee Martin - 2009 - Journal of Critical Realism 8 (3):294-315.
Analytics
Added to PP index
2020-12-16
Total views
101 ( #115,666 of 2,504,809 )
Recent downloads (6 months)
35 ( #25,833 of 2,504,809 )
2020-12-16
Total views
101 ( #115,666 of 2,504,809 )
Recent downloads (6 months)
35 ( #25,833 of 2,504,809 )
How can I increase my downloads?
Downloads