Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework (Extended Abstract)

Evana Gizzi, Lakshmi Nair, Sonia Chernova, Jivko Sinapov

IJCAI 2023 pp. 6890-6893

doi:10.24963/IJCAI.2023/777 /ijcai/2023/gizzi2023ijcai-creative/

Abstract

Creative Problem Solving (CPS) is a sub-area within artificial intelligence that focuses on methods for solving off-nominal, or anomalous problems in autonomous systems. Despite many advancements in planning and learning in AI, resolving novel problems or adapting existing knowledge to a new context, especially in cases where the environment may change in unpredictable ways, remains a challenge. To stimulate further research in CPS, we contribute a definition and a framework of CPS, which we use to categorize existing AI methods in this field. We conclude our survey with open research questions, and suggested future directions.

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Cite

Text

Gizzi et al. "Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2023. doi:10.24963/IJCAI.2023/777

Markdown

[Gizzi et al. "Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2023.](https://mlanthology.org/ijcai/2023/gizzi2023ijcai-creative/) doi:10.24963/IJCAI.2023/777

BibTeX

@inproceedings{gizzi2023ijcai-creative,
  title     = {{Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework (Extended Abstract)}},
  author    = {Gizzi, Evana and Nair, Lakshmi and Chernova, Sonia and Sinapov, Jivko},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {6890-6893},
  doi       = {10.24963/IJCAI.2023/777},
  url       = {https://mlanthology.org/ijcai/2023/gizzi2023ijcai-creative/}
}