CI-EN: Enhancement of a Large-scale Multiagent Simulation Tool

CI-EN：大规模多智能体仿真工具的增强

• 批准号: 1727303
• 负责人: Sean Luke
• 金额: $ 89.63万
• 依托单位: George Mason University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1727303&HistoricalAwards=false
• 关键词: CI; EN; Enhancement; Large; scale

An agent-based simulation is a software simulation of many independent actors (people, robots, animals, companies, etc.) interacting in complex ways. For example, one might build a simulation of a swarm of ants, a school of fish, a large group of robots collectively building a house, a city of people under siege by a large medieval army, or the spread of urban legends over a social network. These kinds of simulations are used for everything from building software for swarms of delivery robots, to understanding the spread of disease in third-world slums, to predicting the impact of climate change on human migration patterns. Similarly, these simulations help researchers and policy makers in engineering and robotics, in artificial intelligence, and in the biological and social sciences. Such simulations can get very large, with large numbers of actors. This project involves building a software tool to assist in the development of large-scale agent-based simulations spread over potentially many separate computers, and to make it easy for them to place their agents in simulated locations on the Earth. At the same time the tool will be easy to use for high school and undergraduate students.The project will develop a distributed agent-based modeling tool for constructing large simulations of swarms and groups of agents. The project enhances an existing, successful open-source Java multiagent simulation library called MASON. MASON is designed to run on a single machine; but the enhanced version will also allow distribution over many machines. The enhanced tool will also include facilities for embedding agents in geographical information systems (GIS), model optimization and automation, interfaces for alternative programming languages targeting the Java Virtual Machine, statistics facilities, internal testing and verification, and integration with software tools. The enhancement will not only provide a distributed simulation facility for researchers in the social sciences, biology, and engineering, but will also improve on MASON's graphical interface and language facilities to make it easier to use as a teaching tool.

基于代理的模拟是许多独立参与者（人，机器人，动物，公司等）的软件模拟。以复杂的方式相互作用。 例如，你可以建立一个模拟的蚂蚁群，一群鱼，一大群机器人集体建造一所房子，一个被中世纪军队围困的城市，或者在社交网络上传播城市传说。这种模拟被用于各种各样的事情，从为成群的送货机器人构建软件，到了解疾病在第三世界贫民窟的传播，再到预测气候变化对人类迁移模式的影响。 同样，这些模拟有助于工程和机器人、人工智能以及生物和社会科学领域的研究人员和政策制定者。 这种模拟可以变得非常大，有大量的演员。 该项目涉及建立一个软件工具，以帮助开发大规模的基于代理的模拟，这些模拟可能分布在许多单独的计算机上，并使他们能够轻松地将代理放置在地球上的模拟位置。 同时，该工具将易于使用的高中和本科生。该项目将开发一个分布式的基于代理的建模工具，用于构建大规模的模拟群和组的代理。 该项目增强了现有的，成功的开源Java多代理仿真库称为MASON。 MASON被设计为在一台机器上运行;但增强版也允许在多台机器上分发。 增强的工具还将包括在地理信息系统中嵌入代理的设施、模型优化和自动化、针对Java虚拟机的替代编程语言接口、统计设施、内部测试和核查以及与软件工具的整合。 这一改进不仅将为社会科学、生物学和工程学的研究人员提供分布式仿真设施，还将改进MASON的图形界面和语言设施，使其更容易用作教学工具。

项目成果

Assisted Parameter and Behavior Calibration in Agent-based Models with DistributedOptimization

具有分布式优化的基于代理的模型中的辅助参数和行为校准

• 发表时间: 2020
• 期刊: International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS
• 作者: A'Auria, Matteo;Scott, Eric O.;Lather, Rajdeep Singh;Hilty, Javier
• 通讯作者: Hilty, Javier

Distributed, Automated Calibration of Agent-based Model Parameters and Agent Behaviors

基于代理的模型参数和代理行为的分布式自动校准

• 发表时间: 2020
• 期刊: Autonomous Agents and Multiagent Systems (AAMAS
• 作者: D'Auria, Matteo;Scott, Eric O.;Lather, Rajdeep Singh;Hilty, Javier;Luke, Sean
• 通讯作者: Luke, Sean

The MASON Simulation Toolkit: Past, Present, and Future

• DOI: 10.1007/978-3-030-22270-3_6
• 发表时间: 2018-07
• 作者: S. Luke;R. Simon;A. Crooks;Haoliang Wang;E. Wei;David Freelan;Carmine Spagnuolo;V. Scarano;G. Cordasco;C. Cioffi-Revilla

Scalability in the MASON Multi-Agent Simulation System

MASON 多智能体仿真系统的可扩展性

• DOI: 10.1109/distra.2018.8601006
• 发表时间: 2018
• 期刊: 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications (DS-RT
• 作者: Wang, Haoliang;Wei, Ermo;Simon, Robert;Luke, Sean;Crooks, Andrew;Freelan, David;Spagnuolo, Carmine
• 通讯作者: Spagnuolo, Carmine