Research Article
Construction of Environmental Factor Model Based on Agent
@INPROCEEDINGS{10.4108/eai.2-6-2023.2334675, author={Lingyun Li and Bo Wang}, title={Construction of Environmental Factor Model Based on Agent}, proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2023}, month={8}, keywords={intelligent agent environmental elements grid body objects model application}, doi={10.4108/eai.2-6-2023.2334675} }- Lingyun Li
Bo Wang
Year: 2023
Construction of Environmental Factor Model Based on Agent
ICIDC
EAI
DOI: 10.4108/eai.2-6-2023.2334675
Abstract
This paper explores the ability and expression form of the combination of intelligent agents and environmental element modeling from a GIS perspective. Firstly, the complexity of environmental element data is analyzed, and the current spatial-temporal model of environmental data organization in the geographic information field is reviewed, and the full-process operation of the interaction between intelligent agents and the environment is proposed. Secondly, to address the disadvantage of the insufficient storage, analysis, and expression capabilities of intelligent agents for environmental element data, an environmental modeling framework based on spatial grid division applicable to the entire space range is established. By further extending the object-oriented thinking and fully leveraging the expression mechanism of the grid body for internal environmental element attributes and element changes, it is conducive to the efficient use of intelligent agent perception information and computational analysis, scenario deduction and decision support. Finally, through task-driven case studies in the military domain, the effectiveness of the intelligent agent-based environmental element organization and expression model is demonstrated, providing a reference for the wider application of intelligent agent technology in the geographic information field.