Emergency Management Based on Attention Mechanism

DOI

10.2991/978-94-6463-200-2_127How to use a DOI?

Keywords

emergency management; attention mechanism; finite rationality

Abstract

Emergency management plays a pivotal role in today's social governance, but the existing emergency management system still suffers from ambiguous monitoring objectives and unreasonable allocation of government attention. As an important technique in the field of machine learning, attention mechanism can be a good way to fill the shortcomings of the current emergency management. This paper combines Simon's finite rationality theory, tries to introduce attention mechanism in the field of machine learning, and proposes a new model of emergency management, which provides a new way of thinking for the reform of emergency management system mechanism in China.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Chao Wu
AU  - Guanqi He
PY  - 2023
DA  - 2023/07/26
TI  - Emergency Management Based on Attention Mechanism
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 1204
EP  - 1210
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_127
DO  - 10.2991/978-94-6463-200-2_127
ID  - Wu2023
ER  -