A substitute for the classical Neumann--Morgenstern characteristic function in cooperative differential games

In this paper, we present a systematic overview of different endogenous optimization-based characteristic functions and discuss their properties. Furthermore, we define and analyze in detail a new, $\eta$-characteristic function. This characteristic function has a substantial advantage over other characteristic functions in that it can be obtained with a minimal computational effort and has a reasonable economic interpretation. In particular, the new characteristic function can be seen as a reduced version of the classical Neumann-Morgenstern characteristic function, where the players both from the coalition and from the complementary coalition use their previously computed strategies instead of solving respective optimization problems. Our finding are illustrated by a pollution control game with $n$ non-identical players. For the considered game, we compute all characteristic functions and compare their properties. Quite surprisingly, it turns out that both the characteristic functions and the resulting cooperative solutions satisfy some symmetry relations

The Strategic Placement of Mobile Agents on a Hexagonal Graph using Game Theory.

This paper considers an application of Dynamic Game Theory with the goal of increasing the performance of a Mobile Ad Hoc Network in relation to increasing packet delivery ratio and reducing end-to-end delay by the strategic placement of drones. A multi-stage sequential game of two players, each with one drone is played out in a scenario depicted by a hexagonal graph, obstacles such as forests are also included. The algorithm for the game has been implemented in JavaScript and the results show that the best strategic locations of the placement of the drones can be established during the sequential moves of the players. Results also show that the Nash Equilibrium is achieved during play

Erfahrungen von HerkunftssprecherInnen bei Studienaufenthalten im Herkunftsland der Eltern – eine Studie im russisch-finnischen Kontext

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MANET performance optimization using network-based criteria and unmanned aerial vehicles

In this contribution we consider the problem of optimal drone positioning for improving the 1 operation of a mobile ad hoc network. We build upon our previous results devoted to the application 2 of game-theoretic methods for computing optimal strategies. One specific problem that arises in this 3 context is that the optimal solution cannot be uniquely determined. In this case, one has to use some 4 other criteria to choose the best (in some sense) of all optimal solutions. It is argued that centrality 5 measures as well as node ranking can provide a good criterion for the selection of a unique solution. 6 We showed that for two specific networks most criteria yielded the same solution thus demonstrating 7 good coherence in their predictions.

Game Theoretic approach to increasing MANET performance

In this paper, we describe a novel game-theoretic formulation of the optimal mobile agents' placement problem which arises in the context of Mobile Ad-hoc Networks (MANETs). This problem is modelled as a sequential multistage game. The definitions of both Nash equilibrium and cooperative solution are given. A modification was proposed to ensure the existence of Nash equilibrium. A modelling environment for the analysis of different strategies of the players was developed in MATLAB. The programme generates various game situations and determines each players move by solving respective optimisation problems. Using the developed environment, two specific game scenarios were considered in detail. The proposed novel algorithm was implemented and tested using Network Simulator 3. The results show that the proposed novel algorithm increases network performance by using the game theory principles and techniques

Audiovisual media in the universities of Russia: typology and analysis of the content

The authors give the typology of the audiovisual media in the universities of Russia. Also, the very process of producing is analyzed. The special educational and cognitive process of media producing are considered as elements of information, internal and external communications of the universities, developing the professional competences in the media specialties’ studying process. The authors describe the methodology of program’s producing in connection to educational standards, linking the all stages of this process with the formation of specific student competencies. Increased attention to the functioning of student media, especially audiovisual media in connection with the actively developing trend of visualization of media space, as well as interest in the methods of professional competence of future journalists, editors, PR-managers and marketers in various Russian universities, primarily due to the processes of intensive development in the 21st century technological revolution, the use of innovative technologies and the beginning of testing the functionality as artificial intelligence (Artificial intelligence, AI) in practice. The introduction of high technology requires rapid updating of educational methods and standards in the training of professional personnel in the field of journalism. This is also related to the current reform of science and education in Russia, which aims to actively involve future young specialists in the development of scientific research. The state program “Priority 2030”, which promotes the development of creative initiatives among young people, is also aimed at this. In this context, presented analysis of the functioning of student media at various Russian universities lifts the veil on how the knowledge, competencies, and professional experience of future media professionals are formed, and reveals the possibilities of expanding the national information space