Abstract
Starting from our previous work [1], we propose a study on cognitive agents that have to learn how to use their different information sources (their own evaluation, the authority communication, others’ behavior) in different situations and with respect to different hydrogeological phenomena.
In particular we consider some specific situations in which the authority can be more or less trustworthy and more or less able to deliver its own forecasts to the agents. The simulations will show how, on the basis of a training phase in these different situations, the agents will be able to make a rational use of their different information sources.
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References
Castelfranchi, C., Falcone, R.: Trust Theory: A Socio-Cognitive and Computational Model. Wiley, Chichester (2010)
Falcone, R., Sapienza, A., Castelfranchi, C.: Which information sources are more trustworthy in a scenario of hydrogeological risks: a computational platform. In: In Proceedings of PAAMS 2016
Wilensky, U.: Center for Connected Learning and Computer-Based Modeling. Northwestern University, Evanston (1999). NetLogo. http://ccl.northwestern.edu/netlogo/
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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© 2016 Springer International Publishing Switzerland
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Falcone, R., Sapienza, A. (2016). An Evolutionary Platform for Social Simulation in Case of Critical Hydrogeological Phenomena: The Authority’s Role. 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_24
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DOI: https://doi.org/10.1007/978-3-319-39324-7_24
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