Towards Explainable Creativity: Tackling the Remote Association Test with Knowledge Graphs[go to overview]
Creative problem solving is one of the topics that interest both Cognitive Scientists and researchers in Artificial Intelligence. One aim of cognitive scientists is to build various A.I. systems that can solve creative problems and answer questions like ‘How the human mind works while solving a creative task?’ For Artificial Intelligence, creative problem-solving systems can help modeling agents solve complex problems with novel ideas. Various frameworks can perform computational creativity tests like the Remote Association Test (RAT) to measure AI systems’ cognitive and problem-solving abilities. However, these frameworks cannot propose explanations for these solutions. In this talk, I propose a topic for my master’s thesis: Building an AI system that can solve creativity tests and propose an explanation for these solutions.
20.05.21 - 10:15
via Big Blue Button