I-Corps: Software Infrastructure for Cloud Simulation and Strategic Analysis

平台提供的大规模计算的可用性降低了利用计算密集型分析来支持战略决策的成本。项目团队开发的计算基础设施提供了中间件，使用户不必担心这些问题，因此可以为基于模拟的决策支持系统提供一个有价值的通往云的网关。该方法建立在一种新兴的基于经验博弈论分析（EGTA）的战略推理方法之上。EGTA将大量模拟和其他经验方法与博弈论的概念相结合，以支持在复杂环境中预测其他代理（如竞争对手、客户）的策略和反应的决策。该方法将基于代理的建模的简单性与博弈论的原则分析基础结合起来。所开发的技术有望大大增加EGTA研究的规模和保真度，将博弈论推理的范围从风格化的领域扩展到现实世界的问题。企业、个人和社会面临的许多问题环境从根本上来说都是战略性的，因为一个主体的行动结果关键地取决于其他主体的选择。改善复杂领域的战略决策制定为许多经济上重要的应用提供了好处，例如，供应链风险管理，基础设施和位置规划，以及技术采用和标准化。本项目开发的设施将扩大对大规模分布式计算资源的访问，从而大大提高计算基础设施的利用效率。

The availability of large-scale computing provided by platforms reduces the costs of exploiting compute-intensive analysis in support of strategic decision making. Computational infrastructure developed by the project team provides middleware that shields the user from such concerns, and thus can provide a valuable gateway to the cloud for simulation-based decision support systems. The approach is founded on an emerging methodology for strategic reasoning based on empirical game-theoretic analysis (EGTA). EGTA combines massive simulation and other empirical methods with concepts from game theory to support decisions that anticipate strategies and reactions from other agents (e.g., competitors, customers) in a complex environment. The approach aligns the simplicity of agent-based modeling with the principled analytic basis of game theory. The technology developed promises to dramatically increase the scale and fidelity of EGTA studies, extending the scope of game-theoretic reasoning from stylized domains to real-world problems.Many problem environments faced by firms, individuals, and society are fundamentally strategic, in that the outcome of one agent's action depends pivotally on the choices of others. Improving strategic decision making in complex domains offers benefits for many economically important applications, for example, supply chain risk management, infrastructure and location planning, and technology adoption and standardization. Facilities developed in this project will broaden access to large-scale distributed computing resources, leading to significant efficiencies in utilization of computational infrastructure.