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Information Sources About Hydrogeological Disasters: The Role of Trust

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Multi-Agent Systems and Agreement Technologies (EUMAS 2015, AT 2015)

Abstract

One issue particularly relevant in cases of risk of flooding and landslides caused by specific conditions of the weather, is the ability of citizens to take the right decisions on the basis of different information sources to which they have access.

In this paper we describe some simulative experiments showing how a population of cognitive agents trusting in a different way three sources of information (institutional source, first neighbors source, their own perception), can make decisions more or less suited to the several weather patterns. The complexity of decisions is based on the fact that the agents differently trust the various sources of information which in turn may be differently trustworthy.

In our simulations we analyze some interesting case studies, with particular reference to social agents that need to wait others in order to make decision.

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Notes

  1. 1.

    It is modelled as a distribution continuous in each interval.

  2. 2.

    To be a PDF, it is necessary that the area subtended by it is equal to 1.

  3. 3.

    This has been made in order to ensure that self-trusting agents cannot always see the whole critical event.

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Acknowledgments

This work is partially supported by the Project PRISMA (PiattafoRme cloud Interoperabili per SMArt-government; Cod. PON04a2 A) funded by the Italian Program for Research and Innovation (Programma Operativo Nazionale Ricerca e Competitività 2007–2013) and the project CLARA—CLoud plAtform and smart underground imaging for natural Risk Assessment, funded by the Italian Ministry of Education, University and Research (MIUR-PON).

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Correspondence to Alessandro Sapienza .

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Falcone, R., Sapienza, A., Castelfranchi, C. (2016). Information Sources About Hydrogeological Disasters: The Role of Trust. In: Rovatsos, M., Vouros, G., Julian, V. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2015 2015. Lecture Notes in Computer Science(), vol 9571. Springer, Cham. https://doi.org/10.1007/978-3-319-33509-4_27

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  • DOI: https://doi.org/10.1007/978-3-319-33509-4_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33508-7

  • Online ISBN: 978-3-319-33509-4

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