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

这笔赠款为新兴企业模型的开发提供了资金，这些模型捕捉了涉及的每个决策主体的独立行为，以及主体之间相互作用的影响。建模方法需要几个步骤。首先，将制定一个代表个别参与者特征的方案。这种表述将包括任务信息、组织关系、当地和系统一级的目标以及环境中可能的变化。其次，将智能体表示转换为更适合于系统动力学的整体研究的状态空间表示。第三，为了融合不同智能体之间的相互作用，将问题描述为一个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大小，同时保持适当的精度水平。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。这些数据将被用来构建代理表示，然后验证基于真实世界观察的性能估计。大规模的多智能体模拟将被用来经验地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，这项研究的结果将使人们能够准确预测新兴组织的动态和系统的长期表现。此外，这些模型将为理解导致有效联盟和组织设计的机制提供洞察力。这些模型可以被扩展企业中的决策主体用来估计不同局部决策策略所产生的企业绩效。

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.