arXiv 1401.02822014-01-01cs.MAcs.AI

基于GIS的事故指挥员应急指挥辅助软件Agent设计

Design of a GIS-based Assistant Software Agent for the Incident Commander to Coordinate Emergency Response Operations

Kyoto University（京都大学）；Carnegie Mellon University（卡内基梅隆大学）；Istanbul Technical University（伊斯坦布尔理工大学）；University of Southern California（南加州大学）

Reza Nourjou, Michinori Hatayama, Stephen F. Smith, Atabak Sadeghi, Pedro Szekely

备注：: 3 pages, 1 figure, In Workshop on Robots and Sensors integration in future rescue INformation system (ROSIN' 13). In Conjunction of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS' 13), 2013

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摘要：

问题：本文讨论了一个智能软件系统的IC（事件指挥官）的团队，以协调代理（现场单位或机器人）在紧急/危机响应操作域的行动的设计。目的：提出地理信息协调员的概念。它是一个基于GIS的辅助软件代理，在战略规划和宏观任务分配方面与人类规划者协作，以实现集中式多代理协调。方法：我们设计GICoordinator的方法是：分析问题，设计一个完整的数据模型，设计一个GICoordinator的体系结构，指定所需的人和系统在协调解决问题的能力，指定开发工具，并部署。结果：结果是包含系统需求的GICoordinator的架构/设计。调查结果：GICoordinator有效地将地理信息学与人工智能技术相结合，为IC提供了一个空间智能协调器系统，通过做出宏观/战略决策来有效地协调和控制代理。结果定义了一个框架，为今后的工作，开发这个系统。

英文摘要：

Problem: This paper addresses the design of an intelligent software system for the IC (incident commander) of a team in order to coordinate actions of agents (field units or robots) in the domain of emergency/crisis response operations. Objective: This paper proposes GICoordinator. It is a GIS-based assistant software agent that assists and collaborates with the human planner in strategic planning and macro tasks assignment for centralized multi-agent coordination. Method: Our approach to design GICoordinator was to: analyze the problem, design a complete data model, design an architecture of GICoordinator, specify required capabilities of human and system in coordination problem solving, specify development tools, and deploy. Result: The result was an architecture/design of GICoordinator that contains system requirements. Findings: GICoordinator efficiently integrates geoinformatics with artifice intelligent techniques in order to provide a spatial intelligent coordinator system for an IC to efficiently coordinate and control agents by making macro/strategic decisions. Results define a framework for future works to develop this system.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。