多智能体仿真导论
Introduction to Multi-Agent Simulation
摘要：
在设计复杂、动态和随机的系统时，仿真通常被认为是最好的设计支持技术之一，是战略和战术决策过程中的宝贵帮助。仿真模型由一组规则组成，这些规则定义了系统在给定当前状态下如何随时间变化。与分析模型不同，仿真模型不是求解而是运行，并且可以在任何时间点观察系统状态的变化。这提供了对系统动态的洞察，而不仅仅是基于特定输入预测系统的输出。模拟不是决策工具，而是决策支持工具，可以做出更明智的决策。由于现实世界的复杂性，仿真模型只能是目标系统的近似。仿真建模艺术的本质是抽象和简化。只有那些对目标系统的研究和分析很重要的特性才应包括在模拟模型中。
英文摘要：
When designing systems that are complex, dynamic and stochastic in nature, simulation is generally recognised as one of the best design support technologies, and a valuable aid in the strategic and tactical decision making process. A simulation model consists of a set of rules that define how a system changes over time, given its current state. Unlike analytical models, a simulation model is not solved but is run and the changes of system states can be observed at any point in time. This provides an insight into system dynamics rather than just predicting the output of a system based on specific inputs. Simulation is not a decision making tool but a decision support tool, allowing better informed decisions to be made. Due to the complexity of the real world, a simulation model can only be an approximation of the target system. The essence of the art of simulation modelling is abstraction and simplification. Only those characteristics that are important for the study and analysis of the target system should be included in the simulation model.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
