Multiagent system models do not typically encompass tools for tack-ling abnormal or exceptional situations. When a critical situation arises, and individual agents fail, the system as a whole usually fails,too. For realizing robust distributed systems, conceived as agent systems or organizations, it is necessary to keep a right level of situational awareness (of both agents and environment), through the introduction of the means for gathering and propagating feedback,upon which actions can be taken. This work proposes a notion of accountability that encompasses both a normative dimension, and a structural dimension, that serves for the purpose of robustness.
Robustness Based on Accountability in Multiagent Organizations
Matteo Baldoni
Co-first
;Cristina Baroglio
;Roberto Micalizio
Co-first
;Stefano Tedeschi
Co-first
2021-01-01
Abstract
Multiagent system models do not typically encompass tools for tack-ling abnormal or exceptional situations. When a critical situation arises, and individual agents fail, the system as a whole usually fails,too. For realizing robust distributed systems, conceived as agent systems or organizations, it is necessary to keep a right level of situational awareness (of both agents and environment), through the introduction of the means for gathering and propagating feedback,upon which actions can be taken. This work proposes a notion of accountability that encompasses both a normative dimension, and a structural dimension, that serves for the purpose of robustness.File | Dimensione | Formato | |
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