Abstract
Many benchmarks and challenges for AI and AGI exist, which help to reveal both short- and long-term topics and directions of research. We analyze elementary school Olympiad math tasks as a possible benchmark for AGI that can occupy a certain free niche capturing some limitations of the existing neural and symbolic systems better than other existing both language understanding and mathematical tests. A detailed comparison and analysis of implications of AGI is provided.
Author supplied keywords
Cite
CITATION STYLE
Potapov, A., Scherbakov, O., Bogdanov, V., Potapova, V., Belikov, A., Rodionov, S., & Yashenko, A. (2020). Analyzing elementary school olympiad math tasks as a benchmark for agi. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12177 LNAI, pp. 279–289). Springer. https://doi.org/10.1007/978-3-030-52152-3_29
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
