Advances in Systems Science and Application (2015) Vol.15 No.4 316-325 Computer Investigation of a Game Theoretic Model of Social Partnership in the System of Continuing Education Vladimir K. Dyachenko, Guennady A. Ougolnitsky and Larissa V. Tarasenko Southern Federal University, Russia. Abstract A game-theoretic model of social partnership in the system of continuing educa- tion is proposed and investigated in the simulation mode. Results of the model identification and investigation based on simulation modeling are considered. A comparative analysis of egoistic and cooperative approaches to the social part- nership is conducted. Keywords Social partnership; Continuing education; Simulation modeling; Iden- tification; Difference games. 1 Introduction A system of higher education should be flexible enough to prepare qualified and competitive specialists capable to improve their knowledge and skills in the chang- ing environment. One of the important mechanisms providing the solution of this problem is social partnership that allows for the cooperation of employers, univer- sities, and students. Social partnership relations are very important in the system of higher education [1,2]. An overview of the papers concerned with mathemati- cal modeling of the problems of social partnership is proposed in some previous studies of the authors [3]. Social partnership in continuing education is a specific system of joint activ- ities of the education system agents characterized by trust, common objectives and values, and providing highly qualified, competitive, and mobile specialists for the labor market. The main research hypothesis is that social partnership permits to increase a level of professional competence of the specialists. It seem- s natural to use the formalism of differential games [4] for description of social partnership relationships. Due to the high complexity of the differential game model the techniques of simulation modeling [5] are applied for its investigation in the difference form. The paper develops authors approach exposed in [3]. In the section 2 a gen- eral description of the model is given and the new moments in comparison with the previous studies [3] are shown. In the section 3 the model identification is described. In the section 4 planning and implementation of the computer simu- lation experiments are discussed. Section 5 deals with processing and analysis of the modeling results. Section 6 concludes.