Automated Fictional Ideation via Knowledge Base Manipulation
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 517
- Type
- D - Journal article
- DOI
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10.1007/s12559-015-9366-4
- Title of journal
- Cognitive Computation
- Article number
- -
- First page
- 153
- Volume
- 8
- Issue
- 2
- ISSN
- 1866-9956
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Describes a data-centric fictional ideation approach for natural language generation, implemented in The WhatIf Machine system. Achieved much impact on public perceptions of AI, via: (a) output being used as the original concept for a West-End musical (wingspanproductions.co.uk/news-and-awards/read/48/Beyond-the-Fence-the-world-s-first-computer-generated-musical), the making of which was broadcast as three 1-hour documentaries on Sky Arts (sky.com/watch/title/series/ef9c6834-30b7-4cae-9fd1-264ce0ecdce9/computer-says-show) (b) substantial media coverage before/after the musical, e.g., newscientist.com/article/2079483-beyond-the-fence-how-computers-spawned-a-musical. A sister paper on this cultural impact was presented at the International Conference on Computational Creativity, and a special session (computationalcreativity.net/iccc2016/program) was devoted to discussing what can fairly be described as the largest-scale cultural application of creative AI techniques.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -