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

TL;DR

This paper introduces an Artificial Immune Systems metaphor integrated with agent-based modeling to enhance crisis response operations, demonstrated through a case study on pandemic influenza in Egypt.

Contribution

It presents a novel hybrid model combining AIS, multi-agent systems, and situation management for improved crisis response modeling.

Findings

Effective modeling of crisis response using AIS metaphor

Application to pandemic influenza spread in Egypt

Enhanced decision-making in crisis scenarios

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.