2014
DOI: 10.1016/j.procs.2014.08.173
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Transferring Functions of Biological Immune Systems to Communication Processes in Disasters Using Cellular Automata

Abstract: The biological immune system is an orchestrated, complex network that runs specialized defense reactions to inhibit infections of the whole organism. The immune system memorizes past infections and automatically builds up resilience. The paper analyses these and additional functions of biological immune systems and transfers them to personal communication processes in disaster situations. Based on this analogy, a cellular automaton was programmed to run different scenarios. The prototypical program simulates b… Show more

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Cited by 2 publications
(2 citation statements)
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“…2016, 8(3S) Key considerations in the development of the assessment tool and data collection methodology, representative analysis results, and observations from the operational use of the tool for decision making are reported. Also concludes with lessons learned and recommendations for design and use of similar tools in the future [8].…”
Section: Natural and Traditional Defense Mechanisms To Reduce Climatementioning
confidence: 99%
“…2016, 8(3S) Key considerations in the development of the assessment tool and data collection methodology, representative analysis results, and observations from the operational use of the tool for decision making are reported. Also concludes with lessons learned and recommendations for design and use of similar tools in the future [8].…”
Section: Natural and Traditional Defense Mechanisms To Reduce Climatementioning
confidence: 99%
“…These characteristics are very convenient for modeling physical systems and particularly to simulate the behavior and dynamics of a biological organism such as Physarum Polycephalum. CA have been successfully used in a vast range of research fields such as traffic control [20]- [22], fire spreading [23], [24], molecular dynamics [25], [26], logic gates design [27], pedestrian dynamics [28], [29], crowd evacuation [30]- [33], biological systems [34], [35], or even Physarum modeling [36], [37].…”
Section: Introductionmentioning
confidence: 99%