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A Disaster Response System based on Human-Agent Collectives

Sarvapali D. Ramchurn, Trung Dong Huynh, Feng Wu, Yukki Ikuno, Jack Flann, Luc Moreau, Joel E. Fischer, Wenchao Jiang, Tom Rodden, Edwin Simpson, Steven Reece, Stephen Roberts (+1 others)
2016 The Journal of Artificial Intelligence Research  
HAC-ER thus demonstrates how such Human-Agent Collectives (HACs) can address key challenges in disaster response.  ...  Against this background, this paper proposes a novel disaster response system called HAC-ER.  ...  It extends the latter to include results of experiments run with individual components of HAC-ER and provide more details on the background to our work.  ... 
doi:10.1613/jair.5098 fatcat:rkr4ncivjbbj5pll2e6cqrymdy

Data Extraction by Using Natural Language Processing Tool

Sujata D. More
2018 Helix  
The information could either be true or false depending on individual perception.  ...  So we may say that people acts as a detector by using these social networking sites and detects the information in various forms.  ...  [2] Human-Agent Collectives act as a Calamity Response system. [3] : This paper implements a calamity response system called HAC -ER.  ... 
doi:10.29042/2018-3846-3848 fatcat:pmthvobcovew3os2xtgeesrzki

Analytics and Evolving Landscape of Machine Learning for Emergency Response [chapter]

Rajendra Akerkar Minsung Hong
2019 Zenodo  
In particular, this chapter also focuses on crowdsourcing approaches with machine learning to achieve better understanding and decision support during a disaster, and we discusses the issues on the approaches  ...  Based on the literature review, we observe a trend to move from narrow in scope, problem-specific applications of data mining and machine learning to solutions that address a wider spectrum of problems  ...  Anbalagan and Valliyammai proposed a system performs disaster tweet collection based on trending disaster hash tags [135] .  ... 
doi:10.5281/zenodo.5106014 fatcat:ui7kmryflbaljkim4u2ync2dqi