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

Evana Gizzi; Lakshmi Nair; Sonia Chernova; Jivko Sinapov

IJCAI 2023poster0 citations

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

Evana Gizzi, Lakshmi Nair, Sonia Chernova, Jivko Sinapov

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.

Knowledge Representation and Reasoning: KRR: Learning and reasoningHumans and AI: HAI: Cognitive systemsMultidisciplinary Topics and Applications: MDA: Arts and creativityPlanning and Scheduling: PS: Planning algorithmsPlanning and Scheduling: PS: Robot planningRobotics: ROB: Cognitive robotics

BibTeX

@inproceedings{ijcai2023p777,
  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 = {Proceedings of the Thirty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-23}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Edith Elkind},
  pages     = {6890--6893},
  year      = {2023},
  month     = {8},
  note      = {Journal Track},
  doi       = {10.24963/ijcai.2023/777},
  url       = {https://doi.org/10.24963/ijcai.2023/777},
}