Agent organizations are widely used for the design and development of distributed systems. Agent organizations, however, lack of a systematic way to treat exceptions. In this paper we introduce ARFIN organizations as a novel way to conceptualize multiagent systems. We characterize ARFIN organizations in terms of accountability and responsibility notions that complement the normative system of a standard organization. ARFIN improves the robustness of the resulting system since it enables a systematic treatment of exceptions by detecting and reporting them to the agent with the right capabilities for handling them.

Accountability, Responsibility and Robustness in Agent Organizations

Baldoni, Matteo;Baroglio, Cristina;Micalizio, Roberto
2019-01-01

Abstract

Agent organizations are widely used for the design and development of distributed systems. Agent organizations, however, lack of a systematic way to treat exceptions. In this paper we introduce ARFIN organizations as a novel way to conceptualize multiagent systems. We characterize ARFIN organizations in terms of accountability and responsibility notions that complement the normative system of a standard organization. ARFIN improves the robustness of the resulting system since it enables a systematic treatment of exceptions by detecting and reporting them to the agent with the right capabilities for handling them.
2019
The 1st International Workshop on Responsible Artificial Intelligence Agents, RAIA 2019
Montreal, Canada
May 14th, 2019
Proc. of the 1st International Workshop on Responsible Artificial Intelligence Agents, RAIA 2019
IFAAMAS, International Foundation for Autonomous Agents and Multiagent Systems
1
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https://raia2019.blogs.dsv.su.se/
Accountability, Responsibility, Agent Organizations, Engineering MAS
Baldoni, Matteo; Baroglio, Cristina; Micalizio, Roberto
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1699932
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