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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

A Methodological Approach Towards Crisis Simulations: Qualifying CI-Enabled Information Systems

verfasst von : Chrysostomi Maria Diakou, Angelika I. Kokkinaki, Styliani Kleanthous

Erschienen in: Computational Collective Intelligence

Verlag: Springer International Publishing

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Abstract

Low probability high impact events (LoPHIEs) disrupt organizations’ processes severely. Existing methods used for the anticipation and management of such events, suffer from common limitations resulting in a huge impact to the quantification of probability, uncertainty and risk. Continues studies in the field of Crisis Informatics, present an opportunity for the development of a framework that fits the uncertainty related properties of LoPHIEs.
The paper identifies the need for the development and conduction of a series of experiments, aiming to address the factors that qualify Collective Intelligence-enabled Information Systems with respect to their applicability towards support for LoPHIEs; and aims to propose an experiment framework as a methodology for scenario design in LoPHIEs settings.

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Vorheriges Kapitel Efficacy and Planning in Ophthalmic Surgery – A Vision of Logical Programming
Nächstes Kapitel Multicriteria Transportation Problems with Fuzzy Parameters
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Metadaten
Titel
A Methodological Approach Towards Crisis Simulations: Qualifying CI-Enabled Information Systems
verfasst von
Chrysostomi Maria Diakou
Angelika I. Kokkinaki
Styliani Kleanthous
Copyright-Jahr
2017
Buch
Computational Collective Intelligence

Print ISBN: 978-3-319-67073-7

Electronic ISBN: 978-3-319-67074-4

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-67074-4_55