Computer Models of Creativity
By Margaret A. Boden. The AI Magazine, 2009
511 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Experimental and Cognitive Psychology, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/7aabe01df5a0def6c6d6c43a0e3bf43bb427cf61
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Experimental and Cognitive Psychology
In Mechanical Engineering
Citations in the corpus
- Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry (2020, methodology): “Although much research has focused on the machinery – how to design algorithms to write creative text (Boden, 2009; Gonçalo; Oliveira, 2009; Gonçalo Oliveira, 2018) – research on humans ’ behavioral reactions to such algorithms is much less developed.”
- AI Methods in Algorithmic Composition: A Comprehensive Survey (2013, unknown): “For example, Gero’s (2000), Pearce and Wiggins’s (2001), Ritchie’s (2007) and Boden’s (2009).”
- Can Creativity Be Improved by an Attention-Broadening Training Program? An Exploratory Study Focusing on Team Sports (2007, background): “…for the occurrence of creative performance is supported by a number of recent psychological, cognitive, and neuroscientific findings (e.g., Boden, 2003; Dietrich, 2004; Duncan & Owen, 2000; Kornhuber, 1993; Martindale, 1995; Pfenninger & Shubik, 2001; Sternberg, 1999; Sternberg & Lubart,…”