Artificial Immune Systems Metaphor for Agent Based Modeling of Crisis Response Operations
Abstract
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.
Keywords
Cite
@article{arxiv.1004.3809,
title = {Artificial Immune Systems Metaphor for Agent Based Modeling of Crisis Response Operations},
author = {Khaled M. Khalil and M. Abdel-Aziz and Taymour T. Nazmy and Abdel-Badeeh M. Salem},
journal= {arXiv preprint arXiv:1004.3809},
year = {2010}
}
Comments
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.