A compositional sheaf-theoretic framework for the modeling of complex event-based systems is presented. We show that event-based systems are machines, with inputs and outputs, and that they can be composed with machines of different types, all within a unified, sheaf-theoretic formalism. We take robotic systems as an exemplar of complex systems and rigorously describe actuators, sensors, and algorithms using this framework.
翻译:以复杂事件为基础的系统建模的合成结构草木理论框架被展示出来。 我们展示了以事件为基础的系统是机器,有投入和产出,它们可以由不同种类的机器组成,它们都是在统一的、牛叶理论的正规主义中。 我们把机器人系统作为复杂系统的范例,并严格描述使用这个框架的驱动器、传感器和算法。