APPLICATION OF MULTIAGENT SYSTEMS IN PUBLIC ADMINISTRATION
Abstract
The concept of continuous improvement of management systems remains in the focus of attention, but the capacity of learning systems, which have achieved certain developments in this direction, will never exceed the capabilities of systems that also can actively transform the natural or social environment in accordance with the set goals. To solve these management problems in distributed interaction in various fields of scientific and practical activities, multi-agent systems and technologies have been increasingly used in the past decade. At the heart of the multi-agent approach, there is the concept of a mobile software agent which functions as an independent specialized computer program or “active” (adaptive) element of the artificial intelligence system.
The article proves that the complexity and significance of challenges facing the present-day public administration require the use of new modern tools to address them. The use of multi-agent technologies and systems will significantly improve public administration performance, primarily due to increasing the space for finding solutions, and reducing the role of the human factor. Users of the system (managers and specialists), operating with the appropriate control elements, set the order of consideration of the situation, set priorities, agree on options and choose the best, from their point of view, solution. All operations are carried out by activating the relevant processes, which opens for each object its individual field of action. Thus, for example, it is possible to carry out standard operations in a manual mode – formation of the offer, taking a loan, purchase of raw materials and accessories, logistic operations, acquisition of shares of any enterprises, etc.
The human intelligence should be supplemented with the intelligence of an agent who is able to use the “old” and build “new” knowledge to perform the set tasks in previously unknown situations and problem areas where this agent is used as an actor and is a separate element of intellectual support system for decision-making based on artificial intelligence technologies and multi-agent systems.
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