Abstract
It is proposed to empower the intelligent system with an ability of the abductive generation of new knowledge based on conclusions by analogy. With such an ability it could be trained on precedents, taking place in different areas, transferring knowledge about the phenomena observed in one subject area to another. It is important that, on the basis of the task to be solved, the establishment of analogies can be carried out by means of finding similar structures, invariant properties and akin actions in the multi-model conceptual and ontological knowledge system. Establishing semantic similarity of the observed specifications and the ones generated by an intelligent system is based on the ability of the Giromat in general case to perform the transition from the approximating concepts that belong to the same problem domain (context), through the approximated ones (more general, abstract), to approximating as well, but belonging to a different problem domain (context).
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