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Norm Deviation in Multi agent Systems: A Foundation for Responsible Autonomy Amiga M. Singh1 and Lucinda P. Singh2 1 Harvard Law School 2 North Carolina State University asingh@jd23.law.harvard.edu,
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01
Understand the concept of norm deviation in multiagent systems
02
Collect data on the behavior of the agents in the system
03
Calculate the average behavior of the agents
04
Determine the deviation of each agent's behavior from the average
05
Fill out the norm deviation values for each agent based on the calculated deviation

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Norm deviation in multiagent refers to the difference between the actual behavior of an agent in a multiagent system and the expected behavior based on norms or rules.
All agents participating in the multiagent system are required to file norm deviation reports.
Norm deviation in multiagent can be filled out by documenting the observed behaviors of agents, comparing them to the expected norms, and detailing any deviations.
The purpose of norm deviation in multiagent is to monitor and enforce compliance with norms or rules within the multiagent system.
Information to be reported on norm deviation in multiagent includes details of observed behaviors, comparison to expected norms, and any deviations found.
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