Rednet News, May 13th (Correspondent Yu Yingjie) Recently, the China Optimal Selection Law and Economic Mathematics Research Association (referred to as the "Association"); Double law” The 7th Academic Annual Conference of the Intelligent Decision and Game Branch of the Research Association was held in Zhuzhou, Hunan. This year's annual meeting is organized by; Double law” Jointly organized by the Intelligent Decision and Game Branch of the Research Association and Hunan University of Technology, hosted by the School of Economics and Management of Hunan University of Technology, and co organized by Hunan Automotive Engineering Vocational University. More than 600 experts and scholars from over 100 universities, research institutes, and enterprises across the country, focusing on; Game decision-making between industrial new quality productivity and intelligent manufacturing system; Conduct in-depth discussions on the topic.

At the opening ceremony, Mao Liuping, Secretary of the Party Committee of Hunan University of Technology, stated that Hunan is anchoring itself; Three Highs and Four News; Beautiful blueprint, accelerate construction; 4× 4” With the modernization of the industrial system, the school actively connects with industry demand and will use the annual meeting as an opportunity to deepen industry university research cooperation, contributing to the high-quality development of Hunan University of Technology.

“ Double law” Li Dengfeng, Chairman of the Intelligent Decision and Game Branch of the Research Association and Professor at the University of Electronic Science and Technology of China, stated that the intelligent economy driven by artificial intelligence is giving rise to new decision-making and game problems. He called on scholars to carry forward the scientific spirit of Hua Luogeng, base their research on China's actual problems, and conduct research with a solid foundation and responsibility.

Tang Lixin, an academician of the CAE Member and a professor of Northeast University, proposed the theme report; Octopus topology; The solution integrates data parsing with system optimization, and designs a systematic game decision-making path for industrial green and low-carbon development from the perspectives of internal energy management and inter enterprise environmental management.

Feng Jianghua, an academician of the CAE Member and the chief scientist of CRRC, attended the meeting as a specially invited industry expert, and participated in exchanges around game decision-making issues in rail transit intelligent manufacturing, which provided important inspiration for promoting academic research to connect with industrial practice.

Subsequently, several experts and scholars gave keynote speeches on cutting-edge issues such as platform economy, intelligent recommendation, quality decision-making, task planning, and data trading. Professor Huang Haijun from Beihang University conducted a comparative analysis of commission contracts and subscription contracts in the ride hailing market, and found that subscription contracts can continue to benefit passengers and achieve a win-win situation for both platforms and drivers under mild conditions. This reveals the inherent logic of commission contracts prevailing on large platforms and subscription contracts being more preferred by new entrants. Professor Wu Junjie from Beihang University has designed the recommendation system ArcRec based on prospect theory and data-driven learning of reference point dependent consumer choice behavior, providing a new paradigm for AI driven accurate recommendation. Professor Guan Xu from Huazhong University of Science and Technology discussed how companies can combine quality verification with consumer reviews to influence product quality perception. He pointed out that the greater the deviation in reviews, the more companies tend to adopt pre release verification. Professor Tan Yuejin from the National University of Defense Technology used satellite intelligent task planning as a starting point to systematically summarize methods and technologies such as demand mining, resource modeling, and solving algorithms, and explained the universality of this method in system optimization problems such as port scheduling and medical resource optimization. Fudan University professor Tian Lin focuses on the evaluation challenges brought about by the intangibility of data, proposing that maintaining the uncertainty of buyers' value of data may actually benefit both buyers and sellers. The high-level thematic report fully reflects the profound academic accumulation, cutting-edge research perspective, and clear problem orientation of the attending experts in the field of intelligent decision-making and gaming, demonstrating the broad prospects of related research services for the development of digital economy and intelligent manufacturing.

The conference established 10 thematic sub forums covering areas such as human-machine collaboration, emergency management, digital economy, and supply chain operations, with over a hundred scholars reporting their research results. During the conference, journal editor exchange activities were also organized. The editors in chief and editorial department directors of journals such as Operations Research and Management and Systems Science and Mathematics had in-depth exchanges with the attending representatives on the review process and paper topic selection. In addition, the representatives visited CRRC Zhuzhou Electric Locomotive Research Institute to gain a firsthand understanding of the innovative achievements in intelligent manufacturing of rail transit, and went to the former residence of Qiu Jin for observation and learning.

At the closing ceremony, Li Zhiguo, Vice President of Hunan Automotive Engineering Vocational University, and Chen Yi, Deputy Secretary of the Party Committee of Hunan University of Technology, delivered speeches and read out the results of the high-quality paper selection. The representative of the organizing unit of the next annual meeting received the flag from the current organizing party.

This annual conference showcased cutting-edge achievements in the fields of intelligent decision-making and game theory, effectively promoting the deep integration of game decision-making theory and industrial scenarios, and providing important academic support for cultivating new industrial productivity and serving high-quality economic and social development.