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We propose to use thought-provoking children's questions (TPCQs), namelyHighlights BrainPlay questions, as a new method to drive artificialintelligence research and to evaluate the capabilities of general-purpose AIsystems. These questions are designed to stimulate thought and learning inchildren, and they can be used to do the same thing in AI systems, whiledemonstrating the system's reasoning capabilities to the evaluator. Weintroduce the TPCQ task, which which takes a TPCQ question as input andproduces as output (1) answers to the question and (2) learned generalizations.We discuss how BrainPlay questions stimulate learning. We analyze 244 BrainPlayquestions, and we report statistics on question type, question class, answercardinality, answer class, types of knowledge needed, and types of reasoningneeded. We find that BrainPlay questions span many aspects of intelligence.Because the answers to BrainPlay questions and the generalizations learned fromthem are often highly open-ended, we suggest using human judges for evaluation.

Using Thought-Provoking Children's Questions to Drive Artificial Intelligence Research