Modelling of the teaching process in logistic systems by using of Nested Petri nets

Teaching model, consisting of a central system and a set of systems-satellites, which model the individual behavior of students. Petri nets as a form of simulation of discrete processes. The development of engineer methods of creation computer systems.

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State Maritime Academy of Odessa

Modelling of the teaching process in logistic systems by using of Nested Petri nets

Minakova S.M., Doctor of Economic Sciences

Abstract

Nested Petri nets (NPN) is one of the modern tools of modeling and research of parallel working systems that have certain independence and own activity. These features make attractive their use when modeling educational process, conducted by a group of students both in traditional educational process and interactive computer training. In this article we first offered two-level teaching model, consisting of a central system and a set of systems - satellites, which model the individual behavior of students. Interactive, in other words, largely, independent training with the use of modern information technologies is one of the main directions of improvement of the education system. Rapid development of telecommunications and, in particular, the Internet has created a technological basis for the exchange of information between agencies and individuals, regardless of their social status, nationality, geographical position, and became a powerful incentive for the development of distance education. Petri nets are, essentially, one of the forms of imitation of discrete processes. They were very popular 20 years ago, when with their help they hoped to count the above processes (without imitation). In the majority of applications, from usual imitation models they differ only by broad science variety and specific terminology.

Keywords: Petri nets, the two-level teaching model, interactive training, processes, distributed systems.

Вложенные сети Петри (Nested Petri Nets - NPN) - один из современных инструментов моделирования и исследования параллельно работающих систем, обладающих определенной независимостью и собственной активностью. Эти черты делают привлекательным их использование при моделировании учебного процесса, проводимого группой обучаемых как в традиционном учебном процессе, так и при интерактивном компьютерном обучении. В работе впервые предлагается двухуровневая модель обучения, состоящая из центральной системы и набора систем - сателлитов, моделирующих индивидуальное поведение учащихся. Интерактивное, то есть в значительной мере самостоятельное обучение с использованием современных информационных технологий, - одно из важнейших направлений совершенствования системы образования. Быстрое развитие телекоммуникаций, и в особенности сети Интернет, создало технологическую основу для обмена информацией между организациями и отдельными лицами, вне зависимости от их социального статуса, государственной принадлежности, географического положения, и явилось мощным стимулом развития дистанционного образования. Сети Петри, по существу, являются одной из форм имитации дискретных процессов. Они были очень модными лет 20 назад, когда с их помощью надеялись рассчитывать упомянутые процессы (без имитации). В подавляющем большинстве применений от обычных имитационных моделей они отличаются лишь большим наукообразием и специфической терминологией.

Statement of a problem. Nowadays, despite considerable success of interactive studying, there are many problems that are not decided. To them, first of all, can be added development of engineering methods of creation computer teaching systems as a type of information systems using modern development methodologies and technologies, in particular, CASE-technologies. In addition, it is actual the creation of methods of apriori evaluation of didactic and operational characteristics of the developed training systems.

Solving of the given problems requires the existence of models that adequately describe all the sides of the teaching process - functional, information, dynamic. To describe the dynamics of the teaching process were proposed models based on Petri formalism nets and on closely related with it theory of Markov chains. However, the proposed earlier models described only interaction of a separate student with a teaching system.

At the same time, in modern education an important role plays the ability of students to work in a team interact while making projects. One of the possible ways to model the processes of teamwork of students is associated with the use of a comparatively new class of network models - Petri nets.

Review of recent studies and publications. Among home researches according to Petri nets and specification and analysis of distributed systems are marked works of N.A. Anisimov, O.L. Bandman, I.B. Virbitskajte, V.V Voevodin, N.V Yevtushenko, U.G. Karpov, V.E. Kotov, I.A. Lomazovoj, V.A. Nepom- nyashiy, R. L. Smelanskiy, V.A. Sokolov, L.A. Cherkasova.

In works of V.E. Kotov [1] were identified the formalisms of regular and hierarchical Petri nets which have convenient algebraic representation, N.S. Pisarenkova, G.G. Garbuz [4] were studying the equivalent conversion in automatics theory, a theory of program schemes, to compare the behavior of parallel systems V.A. Vasilyev and others [3] introduced the concept of bisimulative equivalent.

Tasks of a research. Nowadays, despite the considerable success of interactive studying, there are a lot of outstanding problems. To them, first of all, is included the development of engineer methods of creation of computer teaching systems as a kind of information systems using modern methodologies and technologies of development, in particular, CASE- technologies.

In addition, the actual is the creation of apri- ori evaluation of didactic and operational characteristics of the developed training systems. Solving of these problems requires existence of models that adequately describe all the sides of studying process - functional, information, dynamic.

To describe the dynamics of the teaching process were proposed models based on Petri formalism nets and on closely related with it theory of Markov chains.

There are a lot of classes of formal models built on the base of Petri nets. Some of them are an extension of ordinary Petri nets and by their expressiveness are close to Turing machines, some of them - narrowing (sometimes up to final systems). There are Petri nets with inhibitory arcs, with invisible transitions, networks with time and probability, object- oriented Petri nets.

But, the proposed earlier models described only the interaction of a separate student with a teaching system. At the same time, in modern education an important role plays the ability of students to work in a team, interact in making of projects. One of the possible ways to model the processes of teamwork of students is associated with the use of a relatively new class of network models - Nested Petri nets.

Basic material of a research. Let's look through the extension of Petri nets, which is useful while modeling of the teaching process. We speak about so-called Nested Petri networks (Nested Petri Nets-NPN).

The appearance of a given variety of Petri nets is connected with the desire of researches to have a tool for adequate and convenient representation of complex systems with difficult hierarchical and multi-agent structure.

Nested Petri Nets are an extension of standard Petri net formalism in which chips that represent local resources in positions of the system network, can themselves be complex objects with network structure and be modeled by low- level Petri networks -they will be called - satellite networks.

Structurally, this network consists from system network SN and set of network-chips (satellites) EN i= 1, ..., n. Among some of transitions of the system network and transitions of network-chips can be established the correlation, allowing their joint operation only. Such transitions are called labeled.

Functioning of networks that form a part of NPN largely coincides with the functioning of traditional Petri Nets. Differences make the mechanisms of synchronization of different levels Petri Nets working. In this regard, in NPN they distinguish the following four types of step operation:

- System-offline step which corresponds to the operation of an unlabeled transition in the system network;

- Satellit-offline step which corresponds to the operation of an unlabeled transition in network-chip ENi;

- Step of the horizontal synchronization, at which both operate transitions in networks- chips ENi, marked with the same labels;

- Step of the vertical synchronization, at which simultaneously operate transitions in the system network SN and networks -chips ENi, that have the same labels.

Of course, this suggests that in all networks all the transitions that take a part and are active, i.e., their input positions have the necessary resources to operate.

Let's study the use of Nested Petri nets on example.

Process model of interactive teaching by using of nested Petri networks. We illustrate the possibilities of Nested Petri nets for getting the model of the teaching process with the subsystems of different levels. Let's see a model of a process of interactive teaching shown in Fig. 1. In this model, each student is modeled by one chip, marked as variable var s: STUDENT that corresponds to the integer code of a student. While the information about the passing of a course by a concrete student is lost after the training process is completed.

In addition, in the model in Figure 1 there is no possibility of a differentiated evaluation of the success of learning. Also is not foreseen the possibility of failure of a course, since the number of attempts to study the material and the test is not limited. And finally, there is no possibility to model the interaction of students.

Functioning of the system can be improved if to make a model of the behavior of each student with a separate Petri net. Then chip, marked by the variable s will be the network of ENs, where s is the code of a student, as in Figure 1.

Preparing Teaching Testing Evaluation Taking a decision

Fig. 1. System network SN-painted Petri network with part-time and probable mechanisms, modeling coming through the training course in logistics systems

Taking this, will be the Nested Petri network which consists of the system network SN (it is shown in Fig. 2) and the set the satellite networks ENs, (s=1,2,. .). One of the possible variants of network ENs is presented in Figure 2.

We'll describe briefly the work of the nested network. In figure 2 positions are marked with the letters qi, i = 1,.. .,10. The meaning of positions qp...,q6 coincides with the meaning of p11,.,p16 in Figure 2, the rest positions relate to the evaluation of success of the training. Transitions tptn,...,t17 on both pictures have one and the same meaning.

The line above the marking of transition in figure 2 means an existence of vertical synchronization: the same transitions can work only simultaneously. This means synchronization the following actions:

- arrival of a student into the system (working of a transition t1), creation in the system network SN of a satellite network ENs, as a chip s; in turn, in the satellite network variable s refers to the color set of STUDENT;

- choice of a training module and the beginning of the studying process, working of passing t11;

- completion of the training process and selection of tests, working of transition t13;

- completion of the testing process and transition to the evaluation- working of transition t14;

- taking of a decision according to the testing results - working of transitions: t15-studying of additional material, t16-completion of module studying, t17-re-studying of all material.

Besides the described events, ENs network allows us to estimate the number of goals got by students in the process of module studying. For this purpose were put additional resources, given by color varieties:

- Color BALL = integer;

- Color FAILURE = Boolean;

and appropriate variables:

var P: BALL, var y: FAILURE.

Variable P means the number of goals got by students while making of a module. Initially, in the position q9 there are 100 goals, and then at every fail, the marking of this position decreases: if necessary to study additional material - on b1 goals and if necessary to restudy the whole course - b2 goals. In case of successful passing of studying process is working transition t5 and to the position с is given the got by a student number of goals - number b.

The minimum number of goals, at which positive mark is possible, is b0 goals. If the current meaning for P is less than b0, the learning process is unsuccessful and the variable у takes the meaning - true, which is passed to the position q10 when works transition t5. All other transitions here are blocked.

In this example, that was looked through, is shown only vertical synchronization, which is in the requirement of simultaneous activation of transitions in SN and Es networks. It is possible to foresee and horizontal synchronization also between Es networks, which would allow to model a joint work of students, such as when you perform a collective project.

Of course, the practical use of the proposed model is possible only at presence of the proper program providing, which is currently being developed.

Conclusions. The final result of this work became mathematical models with use of Petri nets, building of dynamic models on the base of Petri nets, using of network models with the help of Petri nets. Petri nets are an effective tool for discrete processes in logistic systems, in particular, the functioning of the machine-tool systems. Are developed theories of modeling with the help of Petri nets. In this work are given the examples of models, the program.

Looking out of a network planning, as management method based on using of mathematical apparatus of graph's theory and system approach for reflecting and algorithmization of complexes of interrelated works, actions or activities to achieve this aim, shows that the use of nested Petri nets expands the possibility of training logistics systems modeling and enables to make previously unavailable researches.

teaching student petri computer

References

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2. Kotov V.E. Petri nets. - M.: Science, 1984. - 158 p.

3. Leskin A.A., Mal'tsev P.A., Spiridonov A.M. Petri Nets Nets in modeling and management. - Leningrad : Science, 1989. - 133 p.

4. Modeling of discrete parallel processes of management using Petri nets / V.A. Vasilyev, V.V. Kuzmuk, G. Meyer, S. Fench // Electronic modelling, 1986, vol. 8, no. 2. - P 10-13.

5. Pisarenkova N.S., Garbuz G.G., Some questions of AIR DEFENCE CONTROL SYSTEM modeling with application of Petri nets / «Scientific works of the Academy». Vol. 2. - Smolensk: BA PVO SV RUSSIA, 1995.

6. Peterson J. Theory of Petri nets and systems modeling: Transl. from English. - Moscow: World, 1984. - 263 p.

7. Sleptsov A.I., Yurasov A.A. Automatization design of control system of flexible automated productions / ed. By B.N. Malinovskiy. - K.: Technics, 1986. - 110 p.

8. Technology of system modeling / E.F. Avramchuk, A.A. Vavilov, S.V. Emel'yanov, and others; Ed. By S.V. Emelyanova, and others. - М.: mechanical engineering; Berlin : technician, 1988. - 520 p.

9. Connecting to Compete 2012 Trade Logistics in the Global Economy The Logistics Performance Index and Its Indicators [Text] / The International Bank for Reconstruction and Development / The World Bank. - 2012. - 68 p.

10. The World Bank

11. Іртищева І.О. Стратегічні орієнтири розвитку логістичної інфраструктури в море господарському комплексі України / І.О. Іртищева, Т.В. Стройко // Збірник наукових праць НУК. - Миколаїв: НУК, 2014. - № 1(451). - С. 12-16.

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