HAC-ER: a disaster response system based on human-agent collectives
This paper proposes a novel disaster management system called HAC-ER that addresses some of the challenges faced by emergency responders by enabling humans and agents, using state-of-the-art algorithms, to collaboratively plan and carry out tasks in teams referred to as human-agent collectives. In p...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Conference or Workshop Item |
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International Foundation for Autonomous Agents and Multiagent Systems
2015
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| Online Access: | https://eprints.nottingham.ac.uk/30336/ |
| _version_ | 1848793965143261184 |
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| author | Ramchurn, Sarvapali D. Huynh, Trung Dong Ikuno, Yuki Flann, Jack Wu, Feng Moreau, Luc Jennings, Nicholas R. Fischer, Joel E. Jiang, Wenchao Rodden, Tom Simpson, Edwin Reece, Steven Roberts, Stephen |
| author_facet | Ramchurn, Sarvapali D. Huynh, Trung Dong Ikuno, Yuki Flann, Jack Wu, Feng Moreau, Luc Jennings, Nicholas R. Fischer, Joel E. Jiang, Wenchao Rodden, Tom Simpson, Edwin Reece, Steven Roberts, Stephen |
| author_sort | Ramchurn, Sarvapali D. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This paper proposes a novel disaster management system called HAC-ER that addresses some of the challenges faced by emergency responders by enabling humans and agents, using state-of-the-art algorithms, to collaboratively plan and carry out tasks in teams referred to as human-agent collectives. In particular, HAC-ER utilises crowdsourcing combined with machine learning to extract situational awareness information from large streams of reports posted by members of the public and trusted organisations. We then show how this information can inform human-agent teams in coordinating multi-UAV deployments as well as task planning for responders on the ground. Finally, HAC-ER incorporates a tool for tracking and analysing the provenance of information shared across the entire system. In summary, this paper describes a prototype system, validated by real-world emergency responders, that combines several state-of-the-art techniques for integrating humans and agents, and illustrates, for the first time, how such an approach can enable more effective disaster response operations. |
| first_indexed | 2025-11-14T19:08:40Z |
| format | Conference or Workshop Item |
| id | nottingham-30336 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:08:40Z |
| publishDate | 2015 |
| publisher | International Foundation for Autonomous Agents and Multiagent Systems |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-303362020-05-04T20:11:46Z https://eprints.nottingham.ac.uk/30336/ HAC-ER: a disaster response system based on human-agent collectives Ramchurn, Sarvapali D. Huynh, Trung Dong Ikuno, Yuki Flann, Jack Wu, Feng Moreau, Luc Jennings, Nicholas R. Fischer, Joel E. Jiang, Wenchao Rodden, Tom Simpson, Edwin Reece, Steven Roberts, Stephen This paper proposes a novel disaster management system called HAC-ER that addresses some of the challenges faced by emergency responders by enabling humans and agents, using state-of-the-art algorithms, to collaboratively plan and carry out tasks in teams referred to as human-agent collectives. In particular, HAC-ER utilises crowdsourcing combined with machine learning to extract situational awareness information from large streams of reports posted by members of the public and trusted organisations. We then show how this information can inform human-agent teams in coordinating multi-UAV deployments as well as task planning for responders on the ground. Finally, HAC-ER incorporates a tool for tracking and analysing the provenance of information shared across the entire system. In summary, this paper describes a prototype system, validated by real-world emergency responders, that combines several state-of-the-art techniques for integrating humans and agents, and illustrates, for the first time, how such an approach can enable more effective disaster response operations. International Foundation for Autonomous Agents and Multiagent Systems 2015 Conference or Workshop Item PeerReviewed Ramchurn, Sarvapali D., Huynh, Trung Dong, Ikuno, Yuki, Flann, Jack, Wu, Feng, Moreau, Luc, Jennings, Nicholas R., Fischer, Joel E., Jiang, Wenchao, Rodden, Tom, Simpson, Edwin, Reece, Steven and Roberts, Stephen (2015) HAC-ER: a disaster response system based on human-agent collectives. In: 2015 International Conference on Autonomous Agents and Multiagent Systems, 4 - 8 May 2015, Istanbul, Turkey. Disaster response Human and agents Innovative applications http://dl.acm.org/citation.cfm?id=2772879.2772947 |
| spellingShingle | Disaster response Human and agents Innovative applications Ramchurn, Sarvapali D. Huynh, Trung Dong Ikuno, Yuki Flann, Jack Wu, Feng Moreau, Luc Jennings, Nicholas R. Fischer, Joel E. Jiang, Wenchao Rodden, Tom Simpson, Edwin Reece, Steven Roberts, Stephen HAC-ER: a disaster response system based on human-agent collectives |
| title | HAC-ER: a disaster response system based on human-agent collectives |
| title_full | HAC-ER: a disaster response system based on human-agent collectives |
| title_fullStr | HAC-ER: a disaster response system based on human-agent collectives |
| title_full_unstemmed | HAC-ER: a disaster response system based on human-agent collectives |
| title_short | HAC-ER: a disaster response system based on human-agent collectives |
| title_sort | hac-er: a disaster response system based on human-agent collectives |
| topic | Disaster response Human and agents Innovative applications |
| url | https://eprints.nottingham.ac.uk/30336/ https://eprints.nottingham.ac.uk/30336/ |