MRI: Acquisition of Equipment to Establish a Distributed Intelligent Agent Systems Infrastructure for Research and Education at Trinity University

提案编号：CNS 08- 21585 PI：Zhang，Yu Drennon，克莉丝汀;刘易斯，Mark C.;机构：Trinity University 圣安东尼奥，TX 78212- 7200标题： MRI/采集：本项目为DIAS实验室提供一个计算集群、一个文件服务器、工作站和一个地理信息系统服务器，使社会系统研究和教育的多智能体模拟成为可能。旨在作为多智能体系统（MAS）及相关领域本科生研究的国家模式，将进行以下项目：- 社会环境的认知代理（CASE），-社会代理的多代理模拟（马萨），-并行和分布式多代理系统中的高性能计算，和-实现多学科应用。前者抓住了使社会和代理进化的力量以及高度认知的决策-为个体代理制定过程，有时遵循直觉和有限理性。第二个提供各种服务，如不同类型的大型数据集的表示和可视化。一个多智能体模拟，称为马萨的CASE系统也将开发。第三个涉及负载平衡和通信方案的设计，以便在多台计算机、处理器和硬盘之间有效地分配工作。后者利用CASE和马萨来探索多学科的应用，包括城市动力学，GIS，多尺度交互，涌现行为，模式形成，自组织等。这项工作促进了计算机科学、社会学、经济学、神经科学和工程学等各个领域的合作。更广泛的影响：该项目为本科生研究、课程和课程开发、招收代表性不足的学生和女学生以及地方经济带来了机会。该机构已经制定了方法，以吸引和留住学生在他们的研究早期。仪器加强了这一努力。改革课程，将为非CS学生创建一个关于多智能体系统的高级顶点课程和一年级研讨会课程。该机构被授予麦克奈尔学者计划，以建立对第一代，低收入和代表性不足的少数民族学生的支持。通过进一步与县和市的伙伴关系，利用基础设施作为了解城市动态的工具，将在当地经济中感受到影响。

Proposal #: CNS 08-21585PI(s): Zhang, Yu Drennon, Christine; Lewis, Mark C.; Massingill, BernaInstitution: Trinity University San Antonio, TX 78212-7200Title: MRI/Acq.: Equipment to Establish a Distributed Intelligent Agent Systems Infrastrcuture for Research and EducationProject Proposed:This project, acquiring a computing cluster, a file serve, workstations, and a geographic information systems (GIS) server for the Distributed Intelligent Agent system (DIAS) Lab, enables multi-agent simulation of social systems research and education. Aiming to serve as a national model for undergraduate research in multi-agent systems (MAS) and related fields, the following projects will be conducted: - Cognitive Agents for Social Environments (CASE),- Multi-Agent Simulation for Social Agents (MASSA),- High Performance Computing in Parallel and Distributed Multi-Agent Systems, and- Enabling Multidisciplinary Applications.The former captures the force that makes society and agents evolve as well as the highly cognitive decision-making process for an individual agent that sometimes follows intuitions and bounded rationality. The second provides various services such as representation and visualization of large sets of data of varying types. A multi-agent simulation, called MASSA for the CASE system will also be developed. The third involves the design of load balancing and communication schemes to spread work efficiently among multiple computers, processors, and hard disks. The latter utilizes CASE and MASSA to explore multidisciplinary applications that include urban dynamics, GIS, multi-scale interaction, emergent behaviors, pattern formation, self-organization, and others. This work fosters collaboration of various fields: computer science, sociology, economics, neuroscience, and engineering.Broader Impacts:This project ushers opportunities for undergraduate research, curriculum and course development, recruitment of underrepresented and female students, and local economy. The institution has developed approaches to engage and retain students early on in their studies. The instrumentation strengthens this effort. Revamping the curriculum a senior capstone course on multi-agent systems and a First-Year Seminar course for non-CS students will be created. The institution was awarded a McNair Scholars Program to establish support for first-generation, low-income, and underrepresented minority students.Impact will be felt in the local economy by furthering a partnership with the County and the City to utilize the infrastructure as a tool for understanding urban dynamics.