Abstract：The generative AI industry,exemplified by Large Language Models(LLMs),is a crucial driver of new quality productive forces.This paper utilizes an evolutionary game theory model to explore industry-academia-research collaboration challenges within the LLM domain.Training LLMs demands extensive computational and data resources,hindering independent academic research and necessitating industry collaboration.However,innovation in LLM architecture and algorithms relies on fundamental scientific research and academic talent cultivation,resulting in varied needs among collaborators.Resource allocation,interests,and risk distribution issues are analyzed via cooperative evolutionary game modeling,corroborated by numerical simulations.Key factors affecting industry-academia-research collaboration on LLMs include the cost of cooperative resources,product application ROI,and government incentives.Recommendations include enhancing data and computing power sharing mechanisms,industry focus on practical applications,academic foresight improvement,and regulatory efforts for data security.
沈映春, 潘淑苓. 大模型产业产学研机制研究——基于演化博弈论和模拟仿真结果[J]. 中国科技论坛, 2024(10): 92-103.
Shen Yingchun, Pan Shuling. Research on Industry-Academia-Research Mechanism of LLMs: Based on Evolutionary Game Theory and Simulation Results. , 2024(10): 92-103.
[1]人民网.加快形成新质生产力[EB/OL].(2023-11-24)[2024-03-26].http://opinion.people.com.cn/n1/2023/1124/c1003-40124764.html. [2]人民网.大数据大算力推动人工智能走向大模型时代[EB/OL].(2023-03-24)[2024-03-26].http://finance.people.com.cn/n1/2023/0324/c1004-32650583.html. [3]中国信息通信研究院.工业大模型技术应用与发展报告1.0(2023年)[R/OL].(2023-12-26)[2024-03-27].https://www.aii-alliance.org/resource/c331/n4797.html. [4]中国信息通信研究院,中国科学院计算技术研究所.大模型治理蓝皮报告(2023年)——从规则走向实践[R/OL].(2023-11-01)[2024-03-27].http://www.caict.ac.cn/kxyj/qwfb/ztbg/202311/t20231124_466440.htm. [5]NOWAK,MARTIN.Evolutionary dynamics:exploring the equations of life[M].Cambridge:Belknap Press,2006. [6]SANDHOLM W H.Population games and evolutionary dynamics[M].Cambridge:MIT Press,2010. [7]BLOOM N,VAN REENEN J.Why do management practices differ across firms and countries[J].Journal of Economic Perspectives,2010,24(1):203-224. [8]曹霞,于娟,张路蓬.不同联盟规模下产学研联盟稳定性影响因素及演化研究[J].管理评论,2016,28(2):3-14. [9]MASCARENHAS C,FERREIRA J J,MARQUES C.University-industry cooperation:a systematic literature review and research agenda[J].Science and Public Policy,2018,45 (5):708-718. [10]史建锋,张庆普.复杂开放环境下产学研知识创新联盟合作影响因素[J].中国科技论坛,2017(8):5-11 [11]DEORSOLA A B,BRAGA E J.Intellectual property and trademark legal framework in BRICS countries:a comparative study[J].World Patent Information,2017,49(6):1-9. [12]何郁冰,张迎春.网络嵌入性对产学研合作绩效的影响[J].科学学研究,2017,35(9):1396-1408. [13]CALCAGNINI G,GIOMBINI G,LIBERATI P,et al.A matching model of university-industry collaborations[J].Small Business Economics,2016,46(1):31-43 [14]涂振洲,顾新.基于知识流动的产学研协同创新过程研究[J].科学学研究,2013,31(9):1381-1390. [15]方刚,谈佳馨.互联网环境下产学研协同创新的知识增值研究[J].科学学研究,2020,38(7):1325-1337. [16]范佳颖,马艳艳.企业主导产学研合作与关键共性技术创新——结构性权力的调节效应[J].中国科技论坛,2024(2):61-70,93. [17]SMITH J M.Did Darwin get it right?Essays on games,sex,and evolution[M].Boston:Springer US,1982. [18]JACKSON M O,WATTS A.The evolution of social and networks[J].Journal of Economic Theory,2002,106(2):265-295 [19]HAGEDOORN J.Inter-firm R＆D partnerships:an overviewof major trends and patterns since 1960[J].Research Policy,2002,31(4):477-492 [20]曾德明,王燕平,文金艳,等.高技术企业创新联盟稳定性研究[J].研究与发展管理,2015,27(1):44-50. [21]凌守兴,许应楠,仇荣国.产学研合作演化博弈模型构建及其稳定性分析[J].统计与决策,2015(17):56-58. [22]中国电子信息产业发展研究院.2024中国人工智能多模态大模型企业综合竞争力20强研究报告[R/OL].(2024-03-20)[2024-03-27].https://www.ccidgroup.com/info/1155/39461.htm. [23]TAN Y,HU P,PAN L,et al.Rlx2:training a sparse deep reinforcement learning model from scratch[J].arXiv Preprint arXiv:2205.15043,2022. [24]HOFFMANN J,BORGEAUD S,MENSCH A,et al.Training compute-optimal large language models[J].arXiv Preprint arXiv:2203.15556,2022. [25]石琳娜,陈劲.基于合作的产学研协同创新稳定性研究[J].科学学与科学技术管理,2023,44(9):67-81. [26]BONACCORSI A,PICCALUGA A.A theoretical framework for the evaluation of university industry relationships[J].R&D Management,1994,24(3):229-247. [27]人民网.加快发展新一代人工智能(人民时评)[EB/OL].(2023-06-16)[2024-03-26].http://opinion.people.com.cn/n1/2023/0616/c1003-40014529.html. [28]新华社.习近平主持中共中央政治局第三次集体学习并发表重要讲话[EB/OL].(2023-02-22)[2024-03-26].https://www.gov.cn/xinwen/2023-02/22/content_5742718.htm?eqid=e9987b97000f2a6c00000002645c9e25.
2024, 
