Abstract: A question answering method that is performed by a question answering apparatus includes: receiving a data set including video content and question-answer pairs; generating input time-series sequences from the video content of the input data set and also generating a question-answer time-series sequence from the question-answer pair of the input data set; calculating weights by associating the input time-series sequence with the question-answer time-series sequence and also calculating first result values by performing operations on the calculated weights and the input time-series sequences; calculating second result values by paying attention to portions of the input time-series sequences that are directly related to characters appearing in questions and answers; and calculating third result values by concatenating the time-series sequences, the first result values, the second result values, and Boolean flags and selecting a final answer based on the third result values.

Abstract: A toddler-inspired Bayesian learning method according to an embodiment includes: collecting information related to at least one task while an agent is performing exploration; and performing Bayesian inference regarding the at least one task by using the collected information as Bayesian informative priors.