Abstract
In this work we realized a series of social simulations in order to investigate how a set of cognitive agents behave in presence of critical hydrogeological phenomena, showing some interesting results about their choices.
The paper starts with the presentation of an ad-hoc Bayesian trust model that we created and used in the simulations. Then we describe the realized platform that can be manipulated in order to shape many possible scenarios.
The simulations start with a world populated by a number of agents that have to deal with different and more or less dangerous meteorological events requiring adequate behaviors. So they need to take a decision and in order to select the right behavior they have to use the information sources they can access. Agents are also profiled into different categories, which shape how they use/trust their different sources.
They will someway interact with each other and with their information sources to finally decide how to behave.
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Notes
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To be a PDF, it is necessary that the area subtended by it is equal to 1.
- 2.
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 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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Falcone, R., Sapienza, A., Castelfranchi, C. (2016). Which Information Sources are More Trustworthy in a Scenario of Hydrogeological Risks: A Computational Platform. In: Demazeau, Y., Ito, T., Bajo, J., Escalona, M. (eds) Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection. PAAMS 2016. Lecture Notes in Computer Science(), vol 9662. Springer, Cham. https://doi.org/10.1007/978-3-319-39324-7_8
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