灾情管理中多智能体系统的反馈与适应模型

G. Jakobson, J. Buford, L. Lewis
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引用次数: 4

摘要

参与灾害管理行动的反应、救援和恢复小组需要持续和全面的灾害环境信息流和态势感知,以便采取快速和协调的行动。由于高度动态和经常不可预测的灾难情况,团队需要在单个成员级别(代理)和整个团队级别(多代理系统)上调整他们的目标、资源和行动。本文研究了一种基于认知反馈的智能体自适应新方法,该方法被引入到智能体间协作框架中。本文是我们对态势感知多智能体系统工作的延续。讨论了智能体自适应和认知反馈在多智能体系统体系结构中的应用。
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Models of feedback and adaptation in multi-agent systems for disaster situation management
The response, rescue and recovery teams that are engaged in disaster management operations require a continuous and comprehensive information flow of the disaster environment and a situational awareness in order to undertake fast and coordinated actions. Because of highly dynamic and often unpredictable disaster situations the teams need to adjust their goals, resources and actions both on an individual member level (agent) and on an entire team level (multi-agent system). This paper investigates a new approach to an agent's adaptability based on cognitive feedback introduced into the framework of inter-agent collaboration. The paper is a continuation of our work on situation-aware multi-agent systems. We discuss how agent adaptation and cognitive feedback is applied in the architecture of multi-agent systems for disaster situation management.
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