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Experimenting with Certified Reputation in a Competitive Multi-Agent Scenario

Articolo
Data di Pubblicazione:
2016
Citazione:
Experimenting with Certified Reputation in a Competitive Multi-Agent Scenario / Buccafurri, F., Comi, A., Lax, G., Rosaci, D.. - In: IEEE INTELLIGENT SYSTEMS. - ISSN 1541-1672. - 31:1(2016), pp. 7325208.48-7325208.55. [10.1109/MIS.2015.98]
Abstract:
In hostile environments, there's a risk of low efficiency of reputation due to possible attacks coming from malicious agents. Indeed, it's widely accepted that in competitive scenarios, the use of direct knowledge about the environment (reliability) is more effective than its combination with indirect knowledge (reputation). In the open multi-agent system research field, the notion of certified reputation has been proposed to improve reputation effectiveness, but there's no supporting practical experience with the introduction of certified reputation in competitive environments available. Even though it's obvious that the effectiveness of the reputation mechanism is generally improved when certification is adopted, it isn't clear when this improvement lets us use the reputation mechanism to increase individual gain, thus resuming the role of reputation. This article deals with this problem by assessing the use of certified reputation in the context of competitive agents
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Intelligent Systems; Multi Agent Systems; Reliability
Elenco autori:
Buccafurri, F; Comi, A; Lax, G; Rosaci, D
Autori di Ateneo:
BUCCAFURRI Francesco
LAX Gianluca
ROSACI Domenico
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/5761
Link al Full Text:
https://iris.unirc.it//retrieve/handle/20.500.12318/5761/85906/buccafurri_2016_IS_experimenting_post.pdf
Pubblicato in:
IEEE INTELLIGENT SYSTEMS
Journal
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URL

https://ieeexplore.ieee.org/document/7325208
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