首页|从建模仿真、生成仿真到智能仿真——仿真技术的过去、现在与未来

从建模仿真、生成仿真到智能仿真——仿真技术的过去、现在与未来

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仿真技术自出现至今经历了物理建模驱动和数据生成驱动2个阶段,两者皆有效解决了各自时代的亟需问题.当前复杂的开放环境和通用的人工智能对仿真的物理真实性与视觉真实性提出了更高的要求,即需要"表"(视觉)"里"(物理)均和真实环境一致的智能仿真范式.智能仿真不但能够精确地刻画仿真对象的物理和动态特质,还可以在视觉上逼真地呈现仿真内容,实现物理和视觉的"双真实",进而打通数值分析仿真和计算机视觉仿真的壁垒,为下一步通用、多模态人工智能的研发提供更好的测试基础和验证环境.本研究从传统物理建模仿真、数据生成式仿真、智能仿真3个阶段探讨了仿真技术的历史和现状,并结合应用对未来仿真技术进行了展望.
From Modeling Simulation,Generative Simulation to Intelligent Simulation-The Past,Present and Future of Simulation Technology
The development of simulation technology has gone through two stages:physical-modeling-driven and data-generation-driven,both have effectively solved the pressing problems in their respective ages.However,the current complex open environment and artificial general intelligence put forward higher requirements for both physical and visual realism of simulation,i.e.,the need for an intelligent simulation paradigm,which is consistent with the real environment in both"surface"(visual)and"interior"(physical)aspects.Intelligent simulation can not only accurately portray the physical and dynamic characteristics of the simulation object,but also visually present the simulation content realistically,achieving a"dual reality"of physics and vision,thereby bridging the gap between numerical analysis simulation and computer vision simulation,providing a better test basis and verification environment for the development of general-purpose and multi-modal artificial intelligence in the next step.The history and status of simulation technology are discussed in this paper from three stages of the traditional physical modeling simulation,data-generation simulation,and intelligent simulation.The future of simulation technology is also envisaged in the light of applications.

intelligent simulationphysical modeling simulationgenerative modelsneural rendering

马惠敏、胡天宇

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北京科技大学,北京 100083

智能仿真 物理建模仿真 生成模型 神经渲染

国家自然科学基金国家自然科学基金国家自然科学基金新一代人工智能国家科技重大专项

U20B206262172036622278012022ZD0116305

2024

系统仿真技术
同济大学

系统仿真技术

CSTPCD
影响因子:0.271
ISSN:1673-1964
年,卷(期):2024.20(2)