Abstract
The paper suggests an approach to the design of a question-answering system based on the interaction of various agents whose work is aimed at obtaining the answer most relevant to the user’s request. The types of such agents, the principles of their work, their functions, the ways of interaction for obtaining the final answer are described. A distinctive feature of the described approach to the implementation of the multi-agent question-answering system is that among the agents providing the system operation, there are those using the machine data and the logical conclusions, as well as those whose main function is to communicate with people and receive the necessary information from them. Thus, the efficiency of such a system is largely determined by the fact that the system uses the most powerful intellectual resources—humans—along with the machine resources and algorithms. A peculiar feature of the question-answering system described in the paper is that the agents ensuring the system operation interact with each other, as well as with users in natural language.
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Mochalova, A., Mochalov, V. (2019). Multi-agent Question-Answering System. In: Cárdenas, R., Mochalov, V., Parra, O., Martin, O. (eds) Proceedings of the 2nd International Conference on BioGeoSciences. BG 2017. Springer, Cham. https://doi.org/10.1007/978-3-030-04233-2_4
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DOI: https://doi.org/10.1007/978-3-030-04233-2_4
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