Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework (Extended Abstract)
Year: 2023
Type: conference-paper
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.
Authors: Evana Gizzi, Lakshmi Nair, Sonia Chernova, Jivko Sinapov
Institutions: Tufts University, Georgia Institute of Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4385764494