December 25, 2017
Development of business-oriented AI technology based on competitive self-play learning
Learning and competitive self-play with multiple AI groups
Hitachi today announced the development of business-oriented AI technology that learns by representing business as groups of interconnected AI and having the AI groups compete among themselves on a computer without relying on actual human-prepared data.
When this AI technology was applied to the "beer distribution game" that simulates a supply chain consisting of multiple companies, the results confirmed that it was possible to reduce loss from over or under stocking to about 1/4 that of decisions based on human experience. The effectiveness of AI learning from self-play has already been demonstrated for competitive games such as Go. This new development indicates that learning based on competitive self-play is also effective for business problems with many uncertain factors.
