Role of Artificial Intelligence in Crisis and Emergency Management
3
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Artificial intelligence (AI) plays significant role in crisis and emergency management. AI not only can save lives during crisis an emergency, it can further help government officials to formulate strategies for increased safety and resiliency before a disaster strikes. In this paper the benefits of AI technologies in crisis response have been investigated. This study further discusses the role of artificial intelligence technologies such as robotics, ontology and semantic web, and multi-agent systems in crisis response. AI is behind many of the recent advances in technologies for crisis response and management.
Abstract
Artificial intelligence (AI) plays significant role in crisis and emergency management. AI not only can save lives during crisis an emergency, it can further help government officials to formulate strategies for increased safety and resiliency before a disaster strikes. In this paper the benefits of AI technologies in crisis response have been investigated. This study further discusses the role of artificial intelligence technologies such as robotics, ontology and semantic web, and multi-agent systems in crisis response. AI is behind many of the recent advances in technologies for crisis response and management.
참고문헌 (14)
- Barocas, S., "Big Data’s Disparate Impact", California Law Review, 104, pp.671~732 (2016)
- Daniel, Massaguer, "Multi-Agent Simulation of Disaster Response", AAMAS’06 (2006)
- David, Greer, "Robots in Urban Se arch and Re scue Ope rations", Proceedings of 2002 ACRA, pp.25~30 (2002)
- Di Loreto, I., "Collaborative Serious Games for Crisis Management: An Overview", Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2012 IEEE 21st. International Workshop, pp.352~357 (2012), IEEE
- "Disaster Management"[URL]
- Imran, M., "Extracting Information Nuggets from Disaster-Related Messages in Social Media", Proceeding of ISCRAM (2013)
- Julie, D., "ICT and Artificial Intelligence for Crisis and Emergency Management", Proceedings of the 52nd Hawaii International Conference on System Sciences, pp.626~628 (2019)
- Kle in, G., "Rapid De cision Making on the Fire Ground: The Original Study Plus a Postscript", Journal of Cognitive Engineering and Decision Making, 4(3), pp.186~209 (2010)
- Mazumdar, S., "Citizens Observatories for Effective Earth Observations: The WeSenseIt Approach", Environmental Scientist, 25(2), pp.56~61 (2016)
- Sebillo, M., "Training Emergency Responders through Augmented Reality Mobile Interfaces", Multimedia Tools and Applications, 75(16), pp.9609~9622 (2016)
- Sharad, Mehrotra, "Project Rescue: Challenges in Responding to the Unexpected", SPIE, 5304, pp.179~192 (2004)
- Silver, D., "Mastering the Game of Go without Human Knowledge", Nature, 550, pp.354~359 (2017)
- Turaga, D., "Design Principles for Developing Stream Processing Applications", Software : Practice and Experience, 40(12), pp.1073~1104 (2010)