Problem of distribution of interaction in networks of dynamic systems attract attention in the last decade, a growing number of researchers. Is largely due to the extensive use of multiagent systems in various fields, including automatic control of intelligent weapons, control formations, swarming, distributed sensor networks, interaction groups UAV relative ship groupings, traffic control groups of mobile robots and more

         In practice, increasingly used distributed systems that perform certain actions in parallel, which is relevant for the task of separating the package of tasks between multiple computing threads (devices). Similar problems arise not only in computer networks, but also in the industrial networks, network services, transport and logistics networks, and others. It turns out that under natural restrictions on communication, decentralized strategy can effectively solve this type of problem.

         This course will provide a foundation in the field of multi agent systems design and engineering. In this course studying all the major MAS design techniques, agent architectures, and communication languages. Course has two components: theoretical and implementation. The theoretical component includes the lectures, readings from the textbook and papers, and several problem sets. The implementation component includes the programming assignments and final project.

         Students learn how to design a multi-agent system for solving real applications, understand the advantages and disadvantages of this paradigm and the limits of its applicability

Directionsand training programs:

-  Business Informatics (program "International electronic business");

-  Applied Informatics (program “It innovations in the business”),

-  Applied Informatics in analytical and computational economy.

Formsofeducation:

-  full-time, part-time, correspondence.

Technologies and techniques of training:

1. Traditional and distance learning technologies.

2. Mixed technology for students of full-time study.

3. Independent study of the course and individual modules.

4. Organization of the simultaneous learning of multiple disciplines in computer class.

5. The organization of regular interaction with students in the learning process through e-learning system "HyperMethod" and using synchronous and asynchronous mode of communication with the student. Gradual and successive formation of educational activities with elements of problem and project-based learning is supposed.

1)    The ability to develop a model of the agent in the subject area

2)    The ability to make a choice of effective multi-agent systems architecture

3)    The ability to program agents using the object-language and / or agent-oriented programming libraries agents and agency environments