Abstract:
The problem of knowledge extraction from unstructured data multimodal flows, the relevance of
which is determined by the necessity of epistemological models for intelligent robotics systems and by
absence of a general solution to this problem today, is considered. The main objective of the study is to
analyze the literature and the state of affairs in the field of autonomous knowledge extraction based on
learning. Conclusions and recommendations on the most promising areas of research in the field of autonomous construction of epistemological models of mobile robotic systems are formulated.
Keywords:knowledge extraction, multimodal data, unstructured data flows, multi-agent cognitive
architectures.