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.
Keywords
- Knowledge Representation and Reasoning: KRR: Learning and reasoning
- Humans and AI: HAI: Cognitive systems
- Multidisciplinary Topics and Applications: MDA: Arts and creativity
- Planning and Scheduling: PS: Planning algorithms
- Planning and Scheduling: PS: Robot planning
- Robotics: ROB: Cognitive robotics
