基于区块链激励机制的知识获取策略研究OA

[Purpose/Significance]Traditional knowledge acquisition models face issues such as information asymme-try,lack of trust,and insufficient incentive mechanisms,leading to low willingness for knowledge sharing and inefficien-cies.By constructing a blockchain-based incentive mechanism,individuals can be encouraged to actively participate in knowledge sharing,thereby improving the efficiency of knowledge acquisition.[Method/Process]First,a blockchain-based knowledge acquisition system architecture was constructed,and a corresponding incentive model for knowledge acquisition was designed.This model includes knowledge pricing,transaction rewards,evaluation rewards,and long-term contribution rewards.Next,a knowledge acquisition strategy based on Directed Acyclic Graph(DAG)was formulated,and the final optimization objective was expressed as minimizing system latency while ensuring long-term contribution rewards and limiting the maximum energy consumption.[Result/Conclusion]Simulation results show that the proposed blockchain-based knowledge acquisition strategy can meet the needs of knowledge seekers in terms of value and timeliness of know-ledge acquisition while ensuring long-term contribution rewards for users.