- author = "Fernand Gobet and Giovanni Sala",
- title = "How Artificial Intelligence Can Help Us Understand Human Creativity",
- journal = "Frontiers in Psychology",
- year = "2019",
- volume = "10",
- pages = "Article 1401",
- month = jun,
- keywords = "genetic algorithms, genetic programming, Automatic Generation of Theories, AGT, artificial intelligence, bounded rationality, creativity, evolutionary computation, intelligence, scientific discovery, simulation, theory",
- ISSN = "1664-1078",
-
URL = "
https://researchonline.lse.ac.uk/id/eprint/102166",
-
URL = "https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2019.01401/full",
-
DOI = "
10.3389/fpsyg.2019.01401",
- size = "6 pages",
- abstract = "Recent years have been marked by important developments in artificial intelligence (AI). These developments have highlighted serious limitations in human rationality and shown that computers can be highly creative. There are also important positive outcomes for psychologists studying creativity. It is now possible to design entirely new classes of experiments that are more promising than the simple tasks typically used for studying creativity in psychology. In addition, given the current and future AI algorithms for developing new data structures and programs, novel theories of creativity are on the horizon. Thus, AI opens up entire new avenues for studying human creativity in psychology.",
-
notes = "PERSPECTIVE article
PMID: 31275212 https://www.frontiersin.org/journals/psychology
Department of Psychological Sciences, University of Liverpool,",
