Use of virtual simulator for agent training in radiation protection actions in major events

With the proximity of the events of the Olympic Games, Brazil can become a great place of visibility for running dirty bombs or any other radiation mode proliferation by terrorists. Aware of these problems, the government and the organizations created managements of emergencies to ensure that these events elapse in an orderly and safe manner. The management of emergency situations at an event is a complex problem, which involves dynamic, unforeseen and unintended situations, emphasizing the potential complexity of the contexts in which organizations operate and, as a consequence, the people involved in the execution of multiple tasks from activities that require intense cognitive effort, are often challenged to adapt dynamically to maintain the productivity of the organization at satisfactory levels of performance usually impedes these people reflect on the results of their actions and learn from them. Therefore, it is extremely important to create tools that address the methods and techniques of Cognitive Task Analysis (CTA) to assist in the previous training of the security agents, for example, detection and approaches of people who carry radioactive elements. One of the possible ways to accomplish this training is through the use of virtual reality. Virtual environments bring some advantages like reducing costs and risks. The aim of this paper is to present a virtual simulator to evaluate the use in training agents in major events. As a case study, the Maracanã and the agents of the National Nuclear Energy Commission (CNEN) was chosen

A COLLABORATIVE VIRTUAL ENVIRONMENT FOR TRAINING OF SECURITY AGENTS IN NUCLEAR EMERGENCIES

In face the recently observed security menaces related to terrorist actions and natural disasters, there is a need for a major qualification and training of the agents responsible for avoid any problems regarding to abnormal conditions. In the conventional training procedures, however, field simulations are associated to logistical and operational constraints regarded to the execution of the tests which can expose the user to risk. On the other hand, the use of virtual simulations provides an alternative to such limitations besides of promote the qualifying of professionals with a great reliability. For this reason, this paper proposes the development of a collaborative virtual environment that will be used to prepare the security agents on identifying individuals suspected of carrying radioactive materials. The development of the virtual environment consisted on modeling using Autodesk 3ds Max, where the scene itself and the scene objects were modeled besides the terrain creation and basic features programming using the Game Engine Unity 3D. In the Engine Game were included radiation detectors and avatars. The security agents were able to communicate to each other by means of auxiliary external tools like a headset software that makes possible the communication, coordination and cooperation required for an effective collaboration. Experimental tests of the virtual simulations were performed with the participation of CNEN radiological protection agents and collaborators. The tests have shown that the proposed method can contribute to improve the training results of the basic collaborative skills required for a CNEN agent in an emergency situation without the need to espose him to any kind of risk. In face of that, we hope that it can contribute to minimize the demand for qualified security professionals

Assuring Homeland Security: Continuous Monitoring, Control and Assurance of Emergency Preparedness

This paper examines the potential relationships of Continuous Auditing and Emergency Preparedness to the design, development, and implementation of Emergency Response Management Information Systems (ERMIS). It develops an argument for the integration of emergency response processes and continuous decision process auditing requirements into the system development life cycle of an organization wide ERMIS

Autonomous systems for operations in critical environments

This paper proposes an environment devoted to simulate the use of autonomous systems in the context of space exploratory missions and operations; this research focuses on supporting engineering of autonomous systems and of their innovative artificial intelligences through interoperable simulation. The proposed approach enables also development of training and educational solutions for use of robots and autonomous systems in space critical environments. The paper addresses different application areas including robotic inventory and warehouse solutions, intelligent space guard systems, drones for supporting extravehicular activities and for managing accidents and health emergencies. The paper investigates the potential of autonomous systems as well as their capability to interoperate with other systems and with humans, especially in critical environments. Finally, the paper presents the existing researches for interoperable simulators devoted to address these challenging topics within Simulation Exploratory Experience initiative

Software agents & human behavior

People make important decisions in emergencies. Often these decisions involve high stakes in terms of lives and property. Bhopal disaster (1984), Piper Alpha disaster (1988), Montara blowout (2009), and explosion on Deepwater Horizon (2010) are a few examples among many industrial incidents. In these incidents, those who were in-charge took critical decisions under various ental stressors such as time, fatigue, and panic. This thesis presents an application of naturalistic decision-making (NDM), which is a recent decision-making theory inspired by experts making decisions in real emergencies. This study develops an intelligent agent model that can be programed to make human-like decisions in emergencies. The agent model has three major components: (1) A spatial learning module, which the agent uses to learn escape routes that are designated routes in a facility for emergency evacuation, (2) a situation recognition module, which is used to recognize or distinguish among evolving emergency situations, and (3) a decision-support module, which exploits modules in (1) and (2), and implements an NDM based decision-logic for producing human-like decisions in emergencies. The spatial learning module comprises a generalized stochastic Petri net-based model of spatial learning. The model classifies routes into five classes based on landmarks, which are objects with salient spatial features. These classes deal with the question of how difficult a landmark turns out to be when an agent observes it the first time during a route traversal. An extension to the spatial learning model is also proposed where the question of how successive route traversals may impact retention of a route in the agent’s memory is investigated. The situation awareness module uses Markov logic network (MLN) to define different offshore emergency situations using First-order Logic (FOL) rules. The purpose of this module is to give the agent the necessary experience of dealing with emergencies. The potential of this module lies in the fact that different training samples can be used to produce agents having different experience or capability to deal with an emergency situation. To demonstrate this fact, two agents were developed and trained using two different sets of empirical observations. The two are found to be different in recognizing the prepare-to-abandon-platform alarm (PAPA ), and similar to each other in recognition of an emergency using other cues. Finally, the decision-support module is proposed as a union of spatial-learning module, situation awareness module, and NDM based decision-logic. The NDM-based decision-logic is inspired by Klein’s (1998) recognition primed decision-making (RPDM) model. The agent’s attitudes related to decision-making as per the RPDM are represented in the form of belief, desire, and intention (BDI). The decision-logic involves recognition of situations based on experience (as proposed in situation-recognition module), and recognition of situations based on classification, where ontological classification is used to guide the agent in cases where the agent’s experience about confronting a situation is inadequate. At the planning stage, the decision-logic exploits the agent’s spatial knowledge (as proposed in spatial-learning module) about the layout of the environment to make adjustments in the course of actions relevant to a decision that has already been made as a by-product of situation recognition. The proposed agent model has potential to be used to improve virtual training environment’s fidelity by adding agents that exhibit human-like intelligence in performing tasks related to emergency evacuation. Notwithstanding, the potential to exploit the basis provided here, in the form of an agent representing human fallibility, should not be ignored for fields like human reliability analysis

Developing a Framework for Stigmergic Human Collaboration with Technology Tools: Cases in Emergency Response

Information and Communications Technologies (ICTs), particularly social media and geographic information systems (GIS), have become a transformational force in emergency response. Social media enables ad hoc collaboration, providing timely, useful information dissemination and sharing, and helping to overcome limitations of time and place. Geographic information systems increase the level of situation awareness, serving geospatial data using interactive maps, animations, and computer generated imagery derived from sophisticated global remote sensing systems. Digital workspaces bring these technologies together and contribute to meeting ad hoc and formal emergency response challenges through their affordances of situation awareness and mass collaboration. Distributed ICTs that enable ad hoc emergency response via digital workspaces have arguably made traditional top-down system deployments less relevant in certain situations, including emergency response (Merrill, 2009; Heylighen, 2007a, b). Heylighen (2014, 2007a, b) theorizes that human cognitive stigmergy explains some self-organizing characteristics of ad hoc systems. Elliott (2007) identifies cognitive stigmergy as a factor in mass collaborations supported by digital workspaces. Stigmergy, a term from biology, refers to the phenomenon of self-organizing systems with agents that coordinate via perceived changes in the environment rather than direct communication. In the present research, ad hoc emergency response is examined through the lens of human cognitive stigmergy. The basic assertion is that ICTs and stigmergy together make possible highly effective ad hoc collaborations in circumstances where more typical collaborative methods break down. The research is organized into three essays: an in-depth analysis of the development and deployment of the Ushahidi emergency response software platform, a comparison of the emergency response ICTs used for emergency response during Hurricanes Katrina and Sandy, and a process model developed from the case studies and relevant academic literature is described

Investigation of Pre-evacuation and Wayfinding Behaviors Impacts using Agent-Based Simulation for Smart Evacuation Technology.

Despite significant safety improvements, the mining industry remains one of the most hazardous occupations globally and the evacuation of Miners, when an uncontrollable incident occurs in the mine, is the best bet to saving lives. However, Human factors/behaviors during an emergency are likely to influence the evacuation performance. Other industries have made a significant effort to determine these human factors that can impede evacuation performance, however, the current state-of-the-art in mine evacuation or self-rescue is that the evacuation route is predetermined, and a static sign is used to direct miners to the predetermined safe location. This method is limited in representing actual conditions that arise in a real emergency, neglecting the different behaviors displayed by humans. As optimization of the evacuation of a mine plays a fundamental role in emergencies and modelling evacuation behavior and movement of miners is a complex task, this research utilized Agent-Based simulations to simulate the evacuation behavior and performance. It was observed that people with the smart evacuation device made evacuated faster than the passive signage scenario and chaotic scenario. It is imperative to consider the impact of pre-evacuation and wayfinding behavior of people when designing the evacuation protocols

Augmented reality for pedestrian evacuation research: Promises and limitations

Publishe