Abstract
This study developed the basic principles and algorithms for presenting the semantics of simple extended sentences describing static scenes based on multi-agent cognitive architectures. It is shown that software agents can represent word patterns and concepts corresponding to these words. And such multi-agent algorithms can form the basis for modeling the semantics of relations between concepts, representing various semantic classes in the composition of the sentence.
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Acknowledgement
The work was supported by RFBR grants № 18-01-00658, 19-01-00648.
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Nagoev, Z., Nagoeva, O., Pshenokova, I., Gurtueva, I. (2019). Multi-agent Model of Semantics of Simple Extended Sentences Describing Static Scenes. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2019. Lecture Notes in Computer Science(), vol 11659. Springer, Cham. https://doi.org/10.1007/978-3-030-26118-4_24
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