类脑智能测评:内涵、方法与应用  

Evaluation of Brain-Inspired Intelligence: Connotation, Methodology and Applications

作　　者：廖元浩 苏春旺 江卫国 文华[1] 李尤君 张四平 黄子罡 LIAO Yuanhao;SU Chunwang;JIANG Weiguo;WEN Hua;LI Youjun;ZHANG Siping;HUANG Zigang(Xi'an Jiaotong University,Xi'an 710000,China)

机构地区：[1]西安交通大学,西安710000

出　　处：《宇航计测技术》2025年第2期31-48,共18页Journal of Astronautic Metrology and Measurement

摘　　要：为客观、全面地评估类脑智能系统的综合性能,亟待建立一套科学的类脑智能测评体系。在本文中,阐述了类脑智能测评的理论基础,包括脑科学理论、类脑计算理论、脑科学与类脑计算的协同发展以及类脑智能测评的关键问题;详细讨论了类脑智能测评方法,包括基于脑机制的测评方法和基于类脑模型的测评方法,并提出了相应的类脑测评指标,构建了分级的测评标准数据集;此外,进一步考虑了类脑智能系统的软硬件一体化测评,提出了测评方法的集成应用方法,并结合类脑定位与导航任务进行了系统化测评实践。In order to evaluate the comprehensive performance of brain-inspired intelligence, it is necessary to establish a standard brain-inspired intelligence evaluation framework.In this paper, the theoretical foundations of brain-inspired intelligence evaluation are elaborated, including brain science theory, brain-inspired computing theory, the synergistic development of brain science and brain-like computing, and the key issues in brain-inspired intelligence evaluation.Brain-inspired intelligence evaluation methods, including the brain-mechanism based assessment methods and the brain-inspired modeling based assessment methods, are discussed in detail.Corresponding brain-inspired evaluation metrics were proposed alongside the construction of a difficulty-tiered standardized dataset.In addition, the hardware-software integrated evaluation of the brain-inspired intelligent systems is further considered, an integrated application framework is proposed, and a systematic evaluation practice is carried out by focusing on the brain-inspired localization and navigation tasks.

关 键 词：类脑智能度量 测评体系 一体化测评 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]