Bridging the Gap between Crisis Response Operations and Systems

There exist huge problems in the current practice of crisis response operations. Response problems are projected as a combination of failure in communication, failure in technology, failure in methodology, failure of management, and finally failure of observation. In this paper we compare eight crisis response systems namely: DrillSim [2, 13], DEFACTO [12, 17], ALADDIN [1, 6], RoboCup Rescue [11, 15], FireGrid [3, 8, 18], WIPER [16], D-AESOP [4], and PLAN C [14]. Comparison results will disclose the cause of failure of current crisis response operations (the response gap). Based on comparison results; we provide recommendations for bridging this gap between response operations and systems.Comment: 6 pages, 1 figure, 2 tables, accepted at The 9th International Conference on Artificial Intelligence and Digital Communication

Artificial Immune Systems Metaphor for Agent Based Modeling of Crisis Response Operations

Crisis response requires information intensive efforts utilized for reducing uncertainty, calculating and comparing costs and benefits, and managing resources in a fashion beyond those regularly available to handle routine problems. This paper presents an Artificial Immune Systems (AIS) metaphor for agent based modeling of crisis response operations. The presented model proposes integration of hybrid set of aspects (multi-agent systems, built-in defensive model of AIS, situation management, and intensity-based learning) for crisis response operations. In addition, the proposed response model is applied on the spread of pandemic influenza in Egypt as a case study.Comment: 12 pages, 5 figures, and 5 tables. Submitted to MATES2010: Eighth German Conference on Multi-Agents System Technologies, September 21, 2010-September 23, 2010 in Karlsruhe, Germany