Agent Systems for Coalition Search and Rescue Task Support (original) (raw)

Tate-Agent Systems for Coalition Search and Rescue-2004-ksco-cosarts.pdf

The Coalition Search and Rescue Task Support project shows cooperative agents supporting a highly dynamic mission in which AI task planning, inter-agent collaboration, workflow enactment, policy-managed services, semantic web queries, semantic web services matchmaking and knowledge-based notifications are employed.

Coalition search and rescue-task support intelligent task achieving agents on the semantic web

2006

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Agent-Based Intelligent Support to Coalition Operations

Information & Security: An International Journal, 2005

Coalition operations are very likely based on a number of different groups of people, non-governmental organizations, institutions providing humanitarian aid and also army troops and official governmental initiatives. As a result, to manage any coalition operation an efficient knowledge sharing between multiple participating parties is required. The paper proposes an approach that combines knowledge logistics and information fusion at level two of situation assessment. The approach is based on such advanced information technologies as intelligent agents, ontology management, and constraint satisfaction/propagation. The main aim of the paper is to present the developed multi-agent architecture for intelligent support of coalition operations that would enable efficient real-time coalition operation management on-the-fly. A particular attention is given to the following three novel tasks: (i) ontology-driven knowledge representation via object-oriented constraint networks, (ii) processing of free text requests, and (iii) design of adaptive agents for on-the-fly problem solving. As an example of a coalition operation, a fictitious but illustrative case study of mobile hospital configuration from the area of health service logistics is described.

An agent system for intelligent situation assessment

Lecture Notes in Computer Science, 1998

Coordinating Search and Rescue (SAR) operations is a knowledge and information intensive task. Upon receiving an initial indication about a possible aircraft related problem, a Rescue Coordination Center (RCC) Controller sets out to find out more about the nature of the problem. This situation assessment phase is highly complex due to the diverse and sophisticated nature of the many information sources. In this paper, we present an intelligent agent architecture incorporating multiple, continual information planning agents for assisting the RCC controller in performing critical situation assessment tasks. The agents monitor the actions of the human controller and make their decisions on when and how to acquire more information to help the human controller, and to remind him of important steps that may have been overlooked. The system is designed based on several technologies, including hierarchical task networks, case based retrieval and intelligent agent systems.

An Agent-based System for Maritime Search and Rescue Operations

Maritime search and rescue operations are critical missions involving personnel, boats, helicopter, aircrafts in a struggle against time often worsened by adversary sea and weather conditions. In such a context, telecommunication and information systems may play a crucial role sometimes concurring to successfully accomplish the mission. In this paper we present an application able to localize the vessel who has launched a rescue request and to plan the most effective path for rescue assets. The application has been realised as a distributed and open multi-agent system deployed on rescue vehicles as well as on a land maritime stations of the Italian Coast Guard. The system is going to be tested in real scenarios by the Coast Guard.

Agent support for policy-driven collaborative mission planning

2010

Abstract In this paper, we describe how agents can support collaborative planning within international coalitions, formed in an ad hoc fashion as a response to military and humanitarian crises. As these coalitions are formed rapidly and without much lead time or co-training, human planners may be required to observe a plethora of policies that direct their planning effort.

Design and evaluation of multi agent systems for rescue operations

Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003

The activities of search and rescue of victims in large-scale disasters are very relevant social problems, and from a scientific viewpoint raise many different technical problems in the fields of artificial intelligence, robotics and multi agent systems. In this paper we describe the development of a multi agent system based on the RoboCup Rescue simulator to allow monitoring and decision support, that are needed in a rescue operation. Two significant accomplishments are reported in this paper: the first is a framework for Cognitive Agent Development that provides for the capabilities of information fusion, planning and coordination; the second one is a methodology for evaluation of multi-agent systems in this scenario that aims at measuring not only the efficiency of a system, but also its robustness when conditions in the environment change.

SOFTWARE AGENTS AS FACILITATORS OF COHERENT COALITION OPERATIONS

2000

Software agents can be viewed as semi-autonomous entities which help people cope with the complexities of working collaboratively in a distributed information environment. This paper describes the research that DERA is carrying out into Software Agents for use in Command Systems and the collaborative work with the 16 partners of an international Coalition Agents Experiment. Specifically, the paper aims to

Software Agents for Coalition Forces

2002

: The distributed, heterogeneity, and dynamic nature of the coalition context has raised the need for new advanced technologies. These technologies aim at managing the coalition informational infrastructure, in terms of autonomy, adaptability, and scalability. To achieve this support, Software Agents (SAs) seem to be a promising approach. To develop this approach, different aspects of a coalition has to be identified. These aspects include the coalition structure; the roles and responsibilities held by people within the coalition; the flow of information within the coalition; the capabilities required or available within the coalition; and the context in which the coalition operates. For many of these aspects, SAs can be used. For instance, the coalition structure can be associated with several SAs of different types and with different roles.