Interaction Of Intelligent Agents Research Articles

Development of a prototype of multi-agent system of network interaction of educational institutions

The aim of the researchis to develop a prototype of the intelligent multi-agent system for dynamic interaction of the intelligent agents in the integrated information and educational space to solve the problem of formation of joint educational programs by several educational institutions.Materials and methods.In modern conditions of digital transformation of education the organization of network training of students on dynamically formed educational programs in accordance with the needs of the labor market and the individual requirements of students is becoming increasingly important. It is proposed to develop a software platform based on intelligent multi-agent technology for flexible integration of educational resources and implementation of joint educational programs by several interacting educational institutions. As a basis for the development of the software prototype architecture, the specifications of the developer community for the standardization of agent technologies FIPA (the Foundation for Intelligent Physical Agents), and the software tool environment – JADE framework (Java Agent Development Network) were chosen.Results.The paper presents the architecture of intelligent multi-agent system for network interaction of educational institutions in the integrated information and educational space, which allows to dynamically forming educational programs in accordance with the requested professional competencies. The structure of the ontology of information and educational space, providing the interaction of intelligent agents, is justified, and the mechanism of its display from the OWL format to the format of the tool environment JADE, using the plugin Protege is described. The description of the software prototype, the structure of intelligent agents in the JADE format and the technology of agent interaction, based on the FIPA protocols in the process of educational programs formation is presented.Conclusion.The implementation of the multi-agent system prototype for network interaction of educational institutions allows you to quickly create educational programs in accordance with individual and group learning trajectories under the specific formed professional competence. The presented software prototype with some modification can be used for other subject areas of the digital economy, involving the dynamic formation of network structures of interaction for business partners.

РОЗРОБКА ТА ДОСЛІДЖЕННЯ МУЛЬТИАГЕНТНОЇ СИСТЕМИ ДЛЯ ОХОРОНИ ОБ’ЄКТА

The article describes a multi-agent system based on the OWL ontology, taking into account the FIPA standards for the object security system. The given data on the work of intellectual agents and communication between them, as well as proposals for solving the tasks assigned. The proposed concept allows to significantly reduce the amount of electricity consumed during the operation of the object tracking system at a certain perimeter for the purpose of object protection. The range of tasks to be solved is not limited only to the implementation of the multi-agent system, among other things, such algorithms as constructing the proposed route of the object's movement, selecting a camera for tracking the object, diagnosing the system for errors are realized. Due to the peculiarities of the interaction of intelligent agents, this system is subject to simple expansion in the event of an increase in the surveillance area or an increase in the number of sensors in a certain territory. Structurally, the security system consists of a control center with a control system, where an operator sits observing the perimeter around the protected object; a set of microcomputers monitoring a certain sector of the protected area using sensors (main and auxiliary); two rotary cameras providing a visual inspection of the surroundings of the facility. An effective communication algorithm and a set of rules for agents allows you to capture the maximum number of objects using the shared resources of agents of two cameras. To prevent the failure of the elements of the security system, a monitoring system is provided, which in turn is controlled by an intelligent agent that interacts with the sensor agents and the decision support agent. In the future, the results of the study can be used to improve the protection of objects.

Agent-Oriented Simulation Model of Manufacturing Activities

This article presents our work on the development of object-oriented simulations of production systems using distributed artificial intelligence (DAI). DAI is a subfield of artificial intelligence that deals with interactions of intelligent agents. A

Trends in distributed artificial intelligence

Distributed artificial intelligence (DAI) is a subfield of artificial intelligence that deals with interactions of intelligent agents. Precisely, DAI attempts to construct intelligent agents that make decisions that allow them to achieve their goals in a world populated by other intelligent agents with their own goals. This paper discusses major concepts used in DAI today. To do this, a taxonomy of DAI is presented, based on the social abilities of an individual agent, the organization of agents, and the dynamics of this organization through time. Social abilities are characterized by the reasoning about other agents and the assessment of a distributed situation. Organization depends on the degree of cooperation and on the paradigm of communication. Finally, the dynamics of organization is characterized by the global coherence of the group and the coordination between agents. A reasonably representative review of recent work done in DAI field is also supplied in order to provide a better appreciation of this vibrant AI field. The paper concludes with important issues in which further research in DAI is needed.

Emergent functionality among intelligent systems: Cooperation within and without minds

In this paper, the current AI view that emergent functionalities apply only to the study of subcognitive agents is questioned; a hypercognitive view of autonomous agents as proposed in some AI subareas is also rejected. As an alternative view, a unified theory of social interaction is proposed which allows for the consideration of both cognitive and extracognitive social relations. A notion of functional effect is proposed, and the application of a formal model of cooperation is illustrated. Functional cooperation shows the role of extracognitive phenomena in the interaction of intelligent agents, thus representing a typical example of emergent functionality.