Abstract
Computational creativity is a subfield of artificial intelligence concerned with the development of programs that can produce creative output; in particular, several of these programs deal with linguistic creativity. Many computational creativity systems are modeled after, or inspired by, psychological and cognitive theories of creativity. One theory that accounts for the aesthetics of creative productions is summarized in the optimal innovation hypothesis, which claims that particular minimal modifications are more pleasurable than totally novel creations. Three systems based on this theory are presented; they creatively modify linguistic expressions with a pragmatic goal, such as attracting the attention of readers and evoking the contents of a news article or producing song parodies to help the listener remember a concept. The potential of this kind of systems is large: when paired with rich user data, they could produce creative messages based on what specific users are familiar with and achieve “personalized creativity.”KeywordsComputational CreativityNatural language processing applicationsAdaptive witticism
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
