AI and Society:1-5 (forthcoming)
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Abstract |
Mahadevan proposes that we are at the cusp of imagination science, one of whose primary concerns will be the design of imagination machines. Programs have been written that are capable of generating jokes, producing line-drawings that have been exhibited at such galleries as the Tate, composing music in several styles reminiscent of such greats as Vivaldi and Mozart, proving geometry theorems, and inducing quantitative laws from empirical data. In recent years, Dartmouth has been hosting Turing Tests in creativity in three categories: short stories, sonnets, and dance music DJ sets. In this post, I will provide a brief and non-exhaustive survey of some plausible responses to these imagination machines and the related prospects for our understanding of the imagination.
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Keywords | Imagination Science Data Science Imagination Machines |
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DOI | 10.1007/s00146-018-0855-3 |
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References found in this work BETA
Psychophysical and Theoretical Identifications.David K. Lewis - 1972 - Australasian Journal of Philosophy 50 (3):249-258.
Psychological Predicates.Hilary Putnam - 1967 - In W. H. Capitan & D. D. Merrill (eds.), Art, Mind, and Religion. University of Pittsburgh Press. pp. 37--48.
Computing Machinery and Intelligence.Alan M. Turing - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. Oxford University Press.
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Citations of this work BETA
Everyday Scientific Imagination: A Qualitative Study of the Uses, Norms, and Pedagogy of Imagination in Science.Michael T. Stuart - 2019 - Science & Education 28 (6-7):711-730.
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