Abstract

urate simulation of the effects of integrating new technologies into a complex system is critical to the modernization of our antiquated air traffic system, where there exist many layers of interacting procedures, controls, and automation all designed to cooperate with human operators. Additions of even simple new technologies may result in unexpected emergent behavior due to complex human/machine interactions. One approach is to create high-fidelity human models coming from the field of human factors that can simulate a rich set of behaviors. However, such models are difficult to produce, especially to show unexpected emergent behavior coming from many human operators interacting simultaneously within a complex system. Instead of engineering complex human models, we directly model the emergent behavior by evolving goal directed agents, representing human users. Using evolution we can predict how the agent representing the human user reacts given his/her goals. In this paradigm, each autonomous agent in a system pursues individual goals, and the behavior of the system emerges from the interactions, foreseen or unforeseen, between the agents/actors. We show that this method reflects the integration of new technologies in a historical case, and apply the same methodology for a possible future technology.


Original document

The different versions of the original document can be found in:

https://dblp.uni-trier.de/db/conf/gecco/gecco2014.html#YliniemiAT14,
https://ntrs.nasa.gov/search.jsp?R=20140010767,
https://dl.acm.org/citation.cfm?doid=2576768.2598388,
https://repository.exst.jaxa.jp/dspace/handle/a-is/63441,
https://academic.microsoft.com/#/detail/2102327182
http://dx.doi.org/10.1145/2576768.2598388
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Published on 01/01/2014

Volume 2014, 2014
DOI: 10.1145/2576768.2598388
Licence: CC BY-NC-SA license

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