Abstract

Technological collective ensembles are one of the new promising areas of artificial intelligence, which was formed on the basis of research results in the field of distributed computer systems, network technologies for solving problems, agents and systems with artificial intelligence and parallel computing. Ensemble of intelligent virtual agents can simultaneously interact with several external environments, conduct several dialogues and perform many skills, that is, can have collective knowledge and skills and behavior. The author, in this article, proposes a synergistic approach to the formation of technological ensembles of intelligent virtual agents. The synergistic approach created reference positions for the development of a new promising area of informatics. Synergistic approach establishes the relationships and from the image of conjugated system phenomena. It uses tools, approaches, and methodology to reasonably transfer the results of subsystem research, parts, and sections to their integral integrated and hierarchically superior system levels. The synergetic approach shows the most important role of resonant phenomena of the states of information systems. The synergistic principle provides a single basis for self-organization. The stage of self-organization occurs only in the case of positive feedback. Synergistic approach allows you to implement the self-organization of intelligent virtual agents of the technological ensemble. Technological self-organizing collective ensembles are able to interact with production teams, replace them for some time and even completely release them in various fields of professional activity. Technological collective ensembles can manage industries, make decisions in difficult changing circumstances and ensure safety in extreme conditions.

Highlights

  • Agent technology becomes relevant in situations where rapid decision-making is required in a dynamic environment, such as risk or supply chain management, operational manufacturing, and supply chain management

  • Agent ensembles with artificial intelligence have high openness, flexibility and efficiency, performance, scalability, reliability and survivability

  • The greatest economic effect of telemedicine consultations is observed in clinics where this service was provided before

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Summary

Introduction

Agent technology becomes relevant in situations where rapid decision-making is required in a dynamic environment, such as risk or supply chain management, operational manufacturing, and supply chain management. Smart agriculture and farming organizations will help technological collective ensembles to properly set up data collection, be able to analyze it and make operational decisions based on economic parameters [6]. The web and mobile application FarmCommand includes technologies for calculating the frequency of use of means, sampling and analysis of soil samples, meteorological summaries for farms, local communications and data transmission, daily satellite surveys, analysis of data obtained, forecasting, access to an integrated farm management platform and the real presence of specialists on the spot. The article considers the main aspects of the functioning of intellectual agents, the collective interaction of intellectual agents, process self-organizing ensembles of intellectual agents, as well as the synergistic principle of the selforganization of the interaction of agents, the standard case of using an ensemble of intellectual agents and the means of implementing self-organizing ensembles of intellectual agents with collective synergistic interaction

Functioning of Intelligent Agents
Collective Interaction of Intelligent Agents
Technological Self-organizing Ensembles of Intellectual Agents
Synergistic Principle of Self-organization of Interaction of Agents
Standard Case Application of Ensemble of Intelligent Interoperable Agents
Execution 4 Retraining
Evaluation Productivity Efficiency and quality
Conclusion

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