Simulation of human crowd behavior in extreme situations
In this research work is presented the approach to modeling of the crowd behavior (ensemble) in extreme situations based on methods of an agent simulation. The main feature of the approach is the taking into account the dynamics of each agent in researched ensemble.
It is important to note, the effect of the full or partial losing of the orientation of an agent in extreme situations such as attacks, explosions, fires with a smoke screening, etc. was taken into account in the created model. As a result of it, the “crowd effect” is being appeared. It is expressed by the “gravitating” or “antigravitating” of close located agents with the some probability depended on psychotype of an agent.
In the work is researched the effects related with the “turbulence of the
crowd”. There is simulated the activity of intellectual agent-rescuers. In the work is supposed own simulator of the “crowd effect” developed with using of Adobe Flash CS technology and the object-oriented programming language Action Script 3.0.
Agent-based modeling and simulation was applied to investigate a set of problems in the energy context. The paper shows advantages of the agent based modeling approach. The method to define agents-consumers in simulation tool AnyLogic and the approach to simulating investment project risk are suggested.
The paper represents an application of agent based approach for simulation modeling as the new way to create epidemic models. It is much differed from common disease spreading simulation technique, which uses differential equations. The AnyLogic 6 agent based computer simulation model of the influenza spreading was created. The model allows making a short-range sickness rate forecast based on current morbidity statistics.
Continuous stochastic agent-based model of human behavior in a confined space with a given geometry is presented in the paper. An “exit front” is defined, also the flow characteristics of agents is studied, in particular, its intensity.
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.
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.
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.