Tripartite Evolutionary Game Analysis of Blockchain Applications in Patent Transactions

Blockchain technology helps to deal with problems such as opaque information and difficulty in confirming rights in patent transaction,and provides a new choice for patent transaction model innovation.By analyzing the role of blockchain in patent transaction,a tripartite evolutionary game model consisting of transaction applicant,transaction platform and intended transferee is constructed.Based on the game income matrix,the game evolution stability of patent trading system is analyzed,and the beha-vior strategy of the subject is discussed.On this basis,parameter values are assigned to different situations,and the influence of key factors on the patent trading system and the behavior strategy of each participant is verified by simulation analysis.The results show that the numerical relationship of parameters affects the evolutionary stability strategy of patent trading system.The blockchain application strategy of the trading platform is mainly affected by operating costs and losses caused by fraud.The increase of the concealing cost of under the role of blockchain can inhibit the fraudulent behavior of the transaction applicant.The reduction of investigation costs and losses can help to encourage the prospective transferee to choose the transaction.While enri-ching relevant theoretical research,it also provides reference for the application practice of blockchain in patent transactions.