The Tessi Clergy Algorithm Inspired by Potential Gaming Behavior in the Hunt for Geo-data

The paper constructs a geo-knowledge/genetic algorithm model based on mathematical methods, which always links the behavior time, behavior distance, and geo-data acquisition quality of all mobile patterns with the overall geo-knowledge evolution process. For the demand of the Tessi missionary groups (geo-data carriers) to acquire geo-data and the response of the local decision-making group, we combine the quality evaluation of the map artifacts after data alignment, realize the discrimination of the dominant strategy, partial game, complete conflict game and natural game in their data game process, deduce the game strategies in the knowledge evolution process of data acquisition, data processing, data management, data protection and data competition. The model is used to describe the above behaviors algorithmically and to explain the extent of knowledge evolution behaviors at the macro level, as well as to provide a new reference solution for computational modeling of games in complex social computing using coupled object-event-process data.