智库理论与实践2025，Vol.10Issue(2)：45-54,10.DOI:10.19318/j.cnki.issn.2096-1634.2025.02.05
基于智库双螺旋法的决策支持系统理念与构建路径研究
Research on the Concept and Construction Path of Decision Support System Based on Think Tank Double Helix Methodology
摘要
Abstract
[Purpose/Significance]In the face of the current decision-making demand dynamics and com-plex environment,how think tanks can utilize new methods and technologies such as big data and artificial intelligence to provide decision makers with scientific and effective decision support is an important research topic.[Method/Process]This study puts forward the concept of decision support system based on the guidance of the think tank double helix approach of outer loop and inner loop,and researches the establishment of the logical mapping framework for decision-making problems and the options of realistic programs.Then based on the national carbon peak and carbon neutrality's major strategic needs,this study carries out research on the construction path of a dual-carbon science and technology development-based situational awareness decision support system by utilizing a new generation of information technologies such as big data and artificial intel-ligence.Finally,this study proposes the future development outlook of the decision support system.[Result/Conclusion]The decision support system will integrate advanced technologies,evolve towards a more intel-ligent and personalized direction,and address the emerging needs of decision-making.In terms of data,it is necessary to improve its ability to store and process a large number of multi-source heterogeneous data at the same time.In terms of real-time performance,it is necessary to improve its ability to process real-time data and information to support real-time decision-making.In terms of flexibility,more customized functional modules need to be added to achieve personalized decision-making.In terms of intelligence enhancement,it is necessary to integrate domain-specific large models,autonomous reasoning AI agents,multimodal knowledge mining,and human-machine synergistic interaction technologies.Through data-driven mechanisms and algorithm op-timization,a self-learning and adaptively evolving augmented system can be constructed,enabling dynamic optimization of decision-making solutions throughout the entire process from perception to evaluation,thereby effectively enhancing decision-making efficiency and accuracy.关键词
智库双螺旋法/决策支持系统/过程融合法/逻辑层次法/"双碳"科技/态势感知Key words
think tank double helix methodology/decision support system/data-information-intelli-gence-solution(DIIS)/mechanism-impact-policy-solution(MIPS)/dual-carbon science and technology/situa-tional awareness引用本文复制引用
陈伟,徐静雯,刘清,潘教峰..基于智库双螺旋法的决策支持系统理念与构建路径研究[J].智库理论与实践,2025,10(2):45-54,10.基金项目
本文系新一代人工智能国家科技重大专项(项目编号:2022ZD0116407)、中国科学院战略性先导科技专项"煤炭清洁燃烧与低碳利用"课题"战略研究与专项总体"(项目编号:XDA29010500)、国家自然科学基金专项项目"中国基础研究战略情报合作网络可持续运行机制研究——基于学术共同体自发共建的模式"(项目编号:L2324131)研究成果之一. （项目编号:2022ZD0116407）
