Scalable Enterprise Systems: Emergent Organizational Structures in Multi-Agent Scalable Enterprises

可扩展的企业系统：多代理可扩展企业中的新兴组织结构

• 批准号: 0075462
• 负责人: Abhijit Deshmukh
• 金额: $ 10.82万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-08-01 至 2002-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0075462&HistoricalAwards=false
• 关键词: Scalable; Enterprise; Systems; Emergent; Organizational

This grant provides funding for the development of models of emergent enterprises that capture the independent behavior of each decision agent involved, as well as the effect of the interactions among agents. The modeling approach entails several steps. First, a representation scheme for the characteristics of individual participants will be developed. This representation will incorporate task information, organizational relationships, local and system level goals and possible changes in the environment. Second, the agent representation will be transformed into a state space representation that is better suited for the overall study of the dynamics of the system. Third, in order to incorporate the interactions between various agents, the problem will be formulated as an interacting particle system. A renormalization scheme will be used to reduce the system to a manageable size while maintaining an adequate level of accuracy. Different levels of aggregation will be tested to examine the tradeoffs between computational complexity and accuracy. Finally, the modeling approach will be validated using data collected from leading companies in the food industry. These data will be used to construct agent representations and then to verify the performance estimates based on real world observations. Large scale multi-agent simulations will be used to empirically estimate the performance of a given organizational configuration and the results will be compared with the predictions of the analytical model. If successful, the results of this research will allow accurate prediction of the dynamics of emergent organizations and the performance of the system in the long run. In addition, these models will provide insight into understanding the mechanisms that result in effective alliances and organizational designs. These models can be used by decision agents in an extended enterprise to estimate the performance of the enterprise resulting from different local decision strategies.

该赠款为新兴企业模型的开发提供资金，该模型捕获所涉及的每个决策代理的独立行为以及代理之间相互作用的影响。建模方法需要几个步骤。首先，将制定针对个体参与者特征的代表方案。这种表示将包含任务信息、组织关系、本地和系统级目标以及环境中可能的变化。 其次，智能体表示将转换为更适合系统动力学整体研究的状态空间表示。 第三，为了整合各种代理之间的相互作用，问题将被表述为相互作用的粒子系统。将使用重整化方案将系统缩小到可管理的规模，同时保持足够的精度水平。将测试不同级别的聚合，以检查计算复杂性和准确性之间的权衡。最后，将使用从食品行业领先公司收集的数据来验证建模方法。这些数据将用于构建代理表示，然后根据现实世界的观察来验证性能估计。将使用大规模多主体模拟来凭经验估计给定组织配置的绩效，并将结果与​​分析模型的预测进行比较。如果成功，这项研究的结果将能够准确预测新兴组织的动态和系统的长期绩效。 此外，这些模型还将提供深入了解导致有效联盟和组织设计的机制。这些模型可以被扩展企业中的决策代理用来估计不同本地决策策略所产生的企业绩效。