Agent based modeling of development of Russian Federation higher education system
The research concerns issues on simulation modeling of Russian Federation higher education system considering its interaction with macroeconomic and demographic factors. The proposed range of simulation models of higher education system is developed using agent-based modeling and system dynamics methods. The range of models allows strategic planning of development of Russian Federation higher education system.
В статье рассматривается непрерывная стохастическая агентная модель движения людей в ограниченном пространстве с заданной геометрией, основанная на феноменологическом подходе. Определяется понятие «фронта выхода», изучаются характеристики потока агентов, в частности, его интенсивность.
Перечислены основные подходы к созданию имитационных моделей сложных объектов в нетехнических областях знаний. Представлены примеры разработанных моделей в логистике, экономике, медицине, социологии.
The Autonomous Agents and MultiAgent Systems (AAMAS) conference series brings together researchers from around the world to share the latest advances in the field. It is the premier forum for research in the theory and practice of autonomous agents and multi-agent systems. AAMAS 2002, the first of the series, was held in Bologna, followed by Melbourne (2003), New York (2004), Utrecht (2005), Hakodate (2006), Honolulu (2007), Estoril (2008), Budapest (2009), Toronto (2010), Taipei (2011), Valencia (2012), Saint Paul (2013), Paris (2014), and Istanbul (2015). This volume constitutes the proceedings of AAMAS 2016, the fifteenth conference in the series, held in Singapore in May 2016.
In line with previous editions, AAMAS 2016 attracted submissions for a general track and five special tracks: Innovative Applications, Robotics, Embodied Virtual Agents and Human-Agent Interaction, Blue Sky Ideas track, and the JAAMAS presentation track. The special tracks were chaired by leading researchers in their corresponding fields: Onn Shehory and Noa Agmon chaired the Innovative Applications track, Francesco Amigoni and Roderich Gross the Robotics track, Tim Bickmore and Hannes Vilhjálmsson the Embodied Virtual Agents and Human-Agent Interaction track, and Frank Dignum the Blue Sky Ideas track. As a new initiative, the chairs of AAMAS 2016 also solicited articles published in the Journal of Autonomous Agents and Multiagent Systems for the JAAMAS Presentation Track. Only papers that have appeared in the Journal of Autonomous Agents and Multi-agent Systems (JAAMAS) in the 12 months period preceding the AAMAS notification date were eligible. This new track was chaired by Peter Stone.
Jointly with the PC chairs the special track chairs were responsible for appointing the Programme Committee (PC) members and the Senior Programme Committee members (SPC) for their tracks, and they made acceptance/rejection recommendations for their tracks in consultation with Programme Chairs based on input provided by the track PC, SPC, and Area Experts. This year the PC chairs introduced the new role of Area Experts, i.e., SPC members with additional responsibilities, to assist with selecting SPC members for specific research areas, identifying appropriate keywords, and assisting in potential issues during discussion phase. This new role was a success and increased the quality of our SPC and PC, and also the reviewing process in general.
Full paper submissions (8 pages plus bibliographic references) and Blue Sky Ideas paper submissions (4 pages plus references) were solicited for AAMAS 2016. Some of the full paper submissions were accepted as extended abstracts (2 pages). The papers were selected by means of a thorough review and discussion process, which included an opportunity for authors to respond to reviewer comments during a rebuttal phase. All SPC members, Area Experts, and Track Chairs followed and contributed to the technical discussions on the papers they were overseeing. The JAAMAS presentation Track submissions published as extended abstracts were handled by the track chair.
Overall, out of 550 submissions, 137 (25%) were accepted as full papers and 143 (26%) were accepted as extended abstracts. Additionally, all 16 JAAMAS track submissions were accepted.
Full papers were presented orally in 20 minute slots; all extended abstracts and, optionally, full papers were presented as posters during the conference.
Out of the 550 submissions, 351 (64%) had a student as the primary author, 82 of these were accepted as full papers (23%), and a further 90 (26%) were accepted as extended abstracts.
The proceedings also contain 17 Demonstration papers, 13 Doctoral Consortium papers, as well as abstracts of the invited talks and details of some of the awards given.
Рассмотрена методика прогнозирования спроса на энергоресурсы на основе имитационной модели. Описаны преимущества применения агентного имитационного моделирования, предложен метод задания агентов-потребителей энергоресурсов в среде имитационного моделирования AnyLogic, разработана методика оценки рисков инвестиционных проектов с помощью имитационного моделирования.
В настоящем учебно-методическом пособии изучаются методы агентного моделирования, эконометрического анализа и искусственного интеллекта с использованием системы AnyLogic. Для студентов высших учебных заведений, обучающихся по экономическим направлениям и специальностям.
This authoritative reference source covers all higher education themes in a comprehensive, accessible and comparative way. It maps the field for the twenty first century reflecting the massive changes that have occurred and the challenges ahead for future research. It provides a rich diversity of scholarly perspectives and covers the entire spectrum of higher education from a geographical, a topical and disciplinary perspective. It is unrivaled in its capacity to go beyond national boundaries and provides indispensible comparative analyses.
The major reference works available about higher education have been published more than two decades ago and since then higher education has undergone major changes that have resulted in a much larger, diverse, global, and multidimensional reality. One of the main trends has been relentless expansion on a worldwide scale. This has led to mass higher education becoming a reality across continents, substantial growth in the number of countries with universal access to higher education, and great diversification of the student body. The tremendous increase in the international links in higher education, through issues such as training, students’ mobility, staff mobility, research activities, is another major change. The consequence is a global dimension that is strongly associated with the intensification of international networks in which institutions and researchers explore, create and share knowledge. As a result of the changes and trends, higher education has increasingly become part of debates that highlight its complexity as an institution that combines relevant political, social, economic, and cultural purposes and dimensions. Asked to play important and varied economic and social roles, higher education has had to reshape its priorities, and organizational and decision-making structures. The growth and increased complexity of the field have both led to more attention being paid to all aspects of higher education and to the expansion of research.
В статье представлен агентный подход к имитационному моделированию как новый способ моделирования эпидемических процессов. Он отличается от классического подхода, основанного на использовании дифференциальных уравнений. С его помощью в среде AnyLogic 6 реализована компьютерная имитационная модель, позволяющая выполнить оперативный прогноз заболеваемости гриппом на основе текущих статистических данных.
Nowadays simulation modeling is applied for solving a wide range of problems. There are simulations which require significant performance and time resources. To decrease overall simulation time a model can be converted to a distributed system and executed on a computer network. The goal of this project is to create a library enabling clear and rapid development parallel discrete event models in AnyLogic. The library is aimed for professionals in computer simulation and helps to reduce code amount. The project includes a research on different synchronization algorithms. In this paper we present techniques which can be used in creating distributed models. We present comparison of a single threaded model with a distributed model implementing optimistic algorithm. The comparison shows a significant improvement in wallclock time achieved by separating the model into independent submodels with minimal communications.