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Models of Information Exchange Between Intelligent Agents

  • N. Yu. MutovkinaEmail author
  • V. N. Kuznetsov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1126)

Abstract

The article discusses the models of information exchange between agents in an abstract intelligent active system. Information exchange is a transfer of messages containing a certain semantic load, from the agent-translator to the agent-recipient. Moreover, in the exchange of information for all agents, the role change is characteristic: the translator becomes the recipient and vice versa. Under the influence of all informational messages, a psychological and business climate is formed in the intellectual active system, which closely correlates with the efficiency of the system. Therefore, it is important to prevent the appearance of information in the system that does not correspond to the truth. To do this, it is necessary to identify the reasons for transmitting false information and to determine managerial influences that would make it possible to minimize the amount of false information transmitted. This article discusses models of the flow of messages transmitted from agent to agent. In these models, parameters are identified, changing which through managerial influences, you can determine which information is true and which information is false. Therefore, to minimize the transmission of false information.

Keywords

Intelligent active system Intelligent agent Information exchange Psycho-behavioral type Concord Communication 

Notes

Acknowledgments

The reported study was funded by RFBR according to the research project No. 17-01-00817A.

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Tver State Technical UniversityTverRussia

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