This paper presents an agent-oriented approach to build a decision support system aimed at helping emergency managers to detect and to manage risks. We stress the flexibility and the adaptivity characteristics that are crucial to build a robust and efficient system, able to resolve complex problems. The system should be independent as much as possible from the subject of study. Thereby, an original approach based on a mechanism of perception, representation, characterisation and assessment is proposed. The work described here is applied on the RoboCupRescue application. Experimentations and results are provided.
In an emergency situation, the actors need an assistance allowing them to react swiftly and efficiently. In this prospect, we present in this paper a decision support system that aims to prepare actors in a crisis situation thanks to a decision-making support. The global architecture of this system is presented in the first part. Then we focus on a part of this system which is designed to represent the information of the current situation. This part is composed of a multiagent system that is made of factual agents. Each agent carries a semantic feature and aims to represent a partial part of a situation. The agents develop thanks to their interactions by comparing their semantic features using proximity measures and according to specific ontologies.
As we have seen previously with the likes of SethBling's Mar I/O videos and other examples, video games seem to be a great source for training AI neural networks. Augmented reality and machine learning are part of a collection of technologies that seem to be growing toward a point of maturity, and that will likely cause them to be intertwined for the foreseeable future. As developers, machine learning will definitely change the way we create software in the coming future. Instead of going line-by-line through code to create our next killer app, we will instead likely set the parameters and determine the training regimen for basic AI. And really, that future is likely not as far away as it may seem.
In search and rescue missions, robots can potentially help save survivors faster than human emergency responders alone would. In our experimental virtual reality simulation environment we have a system which comprises a swarm of unmanned aerial vehicles (UAVs) and a virtual "spokesperson". The system and a human operator work together on locating and guiding survivors to safety away from an active wildfire encroaching on a small town. The UAVs and the spokesperson are equipped with natural language capabilities through which they can communicate with the survivors to convince them to evacuate. If they fail to do so they can ask the human operator to intervene. We use reinforcement learning to automatically learn a policy to be followed when a UAV has located survivors. The system learns the best course of action to help the survivors evacuate, i.e., warn them through the UAV or the spokesperson, ask the human operator to intervene if needed, guide them to safety via their preferred method of transportation, or just wait for more information. We vary the distance of the fire, the level of cooperativeness of the survivors, and how busy the human operator is, and we report results in terms of percentage of survivors saved in each condition.
A longtime voiceover actor, best known for his work on AMC's "Fear the Walking Dead," died after a midair collision during a jump at a Southeast Texas skydiving center Saturday. The Houston-area center, Skydive Spaceland, said in a statement that two seasoned skydivers deployed parachutes normally during a planned group jump on Saturday, but that they later collided and fell to the ground, killing one and injuring the other. The man who died was identified by his longtime agent as Randy Schell, who worked as a voiceover actor for more than 25 years. Schell's voice could be heard on commercials for different television shows, including "Fear the Walking Dead," and for various companies, including Geico. His agent, Jenny Bosby, on Sunday described Schell as a "generous, spirited man" who mentored many in his industry.