HAC-ER: A Disaster Response System based on Human-Agent Collectives

A Disaster Response System based on Human-Agent Collectives

Major natural or man-made disasters such as Hurricane Katrina or the 9/11 terror attacks pose significant challenges for emergency responders. First, they have to develop an understanding of the unfolding event either using their own resources or through third-parties such as the local population and agencies. Second, based on the information gathered, they need to deploy their teams in a flexi...

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-ofthe-art algorithms, to collaboratively plan and carry out tasks in teams referred to as human-agent collectives. In particular, HACER utilises crowdsourcing combined with machine learning to extract situational awar...

HAC-ER: A Disaster Response System based on Human-Agent Collectives (Demonstration)

Two paradigms for the design of artificial collectives

Artificial collectives are systems composed of multiple autonomous information or software agents, mobile robots, or nodes in a sensor or communication networks. In the future, such systems will be responsible for many important tasks, such as highway traffic control, disaster response, toxic spill monitoring and clean-up, as well as exploration of other planets. Because such systems will have ...

The Future of Disaster Response: Humans Working with Multiagent Teams using DEFACTO

When addressing terrorist threats we must give special attention to both prevention and disaster response. Enabling effective interactions between agent teams and humans for disaster response is a critical area of research, with encouraging progress in the past few years. However, previous work suffers from two key limitations: (i) limited human situational awareness, reducing human effectivene...