[Netease Smart News? 26th] Recently, the third game of the AI ​​master round table series sponsored by Titanium Media and Shan Digital Technology Co., Ltd.—the age of artificial intelligence, game and behavior analysis was held in Shanghai. A number of AI masters, including Tuomas Sandholm, the father of Cold Swoop, gathered to share their research findings and experiences in artificial intelligence and discuss their applications and developments. The conference analyzed in depth the business applications from the core ideas of modern operations research to non-linear algorithms. From high-dimensional prediction and big data processing to AI entrepreneurship and social networking, the internationally renowned authoritative AI and algorithm masters jointly discussed the subversive nature of AI on the industry. The impact interprets how AI penetrates into a specific industry and creates a new industry fission potential.
When we talk about artificial intelligence, we may be more familiar with Alpha Go, but in fact, AI is increasingly integrated with various fields. Artificial intelligence has played a role in the design of application mechanisms, water rights markets, e-commerce brush orders, and advertising auctions. Significant works. At the same time, artificial intelligence can also be used in the game behavior of revenue and inventory management, and the application of artificial intelligence in the commercial field is too numerous to enumerate.
Tang Pingzhong: Application of Application Mechanism Design in Water Rights Market, E-commerce Brush Order and Advertisement Auction
Tsinghua University’s Interdisciplinary Information Institute’s 1,000-year young assistant professor, doctoral tutor, and Dr. Tang Pingzhong, director of the Computational Economics Research Institute shared three important application scenarios of artificial intelligence in economics. Professor Tang explained through three vivid examples of real-world application, what is called "AI + economy" and describes in detail how AI is linked with economics. Whether it is to use economic theory to consider the limitations of the minimum trading in the water rights market, or to consider the artificial brushing of shopping websites, and even the dynamic pricing of some companies, these are applied to artificial intelligence on the basis of economics. A live example in real life.
Hosmer: Gambling Behavior in Revenue and Inventory Management
Professor of Shanghai University of Finance and Economics, International Olympics Gold Medal Winner, Young Scientific and Technological Award winner of China Operational Research Society, and Prof. He Simai, a scientist of ShanDong Science and Technology, shared at the conference how to apply the artificial intelligence core algorithm to real life applications. What are the challenges and opportunities encountered in China and how does AI integrate with operations management business? Talking about the development of traditional AI business intelligence, today's traditional AI has a wide range of applications, such as AIpha Go, such as image recognition, speech recognition, text translation and other fields, these traditional AI goals are very clear, in the specific contact with the actual In the scenario, it is necessary to combine the problems themselves and analyze them with AI.
Tuomas Sandholm: How AI Beats World Champions in Cold Fight
Father of Cold Fighting, Professor of Computer Science at Carnegie Mellon University, Founder and Director of the Electronic Market Lab, and the ColdFusion AI of the Texas Hold'em Artificial Intelligence System organized by Professor Tuomas Sandholm defeated four Americans in the United States in January this year. What is the reason for this cold rush master such an AI invincible. According to Prof. Tuomas, Defu is an incomplete information game, which is significantly more difficult than a complete information game. The principle of the algorithm framework behind the cold-fighting master is to let the AI ​​system directly learn from the advantages and disadvantages of the opponent. Learn and use game theory to make decisions and win.
Talking about game theory and optimization decision-making, Professor Tuomas mentioned that game theory itself is only a descriptive tool, but it does not provide specific action plans. Optimal decision-making will provide specific solutions. Artificial intelligence is a bridge to both. Connect to find the best balance.
Ge Dongdong: The Two Cores Behind Artificial Intelligence: Game Theory and Optimization Theory
As for the role played by game theory and optimization theory in artificial intelligence, Professor Ge Dongdong, dean of the Institute of Interdisciplinary Sciences at Shanghai University of Finance and Economics and the chief scientist at Sugien Technology, emphasized that the two core areas of artificial intelligence are game theory and optimization theory. When doing a project, researchers need to consider various issues besides optimization, and also consider the impact of human behavior. For example, during the pricing process, it is not possible to find the price elasticity interval based on the previous price only, and to list the optimal price, artificial intelligence should be used to price according to the strategy, so as to achieve the game with customers and competitors. Today's business is not only a data-driven process, but also needs to continue to learn. In considering the complex circumstances of the overall environment including customer needs, the good resource allocation is calculated through algorithms.
Ding Yuchuan: Application of artificial intelligence in public facilities and people's livelihood
Talking about the application of artificial intelligence in public facilities and people's livelihood, Ding Shuchuan, an expert in intelligent medical research and an assistant professor at the University of British Columbia’s Sauder School of Business, said that AI has a good application prospect in people's livelihood, especially in scientific research related to mechanism design. There has also been a strong cooperation and communication model between them. For example, the same core algorithm can be used in different fields, which helps the development of science and the application of new technologies in people's livelihood and public policy. For now, some non-profit organizations donated by organs collect data of patients through artificial intelligence and then efficiently match patients to save more lives.
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