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Security policies get sent from the Security Audit Service to the corresponding agents.
It is clear that the qualities of the Prior are reflected in the corresponding Agents it produces.
Modular imperative agent-based models read all of their agent inputs, create the corresponding agents, and then store them.
The corresponding agents are defined based of the designed multi-agent system frame presented by the authors.
This results in three simple events generated by the corresponding agents: iNotify-agent: creation of new file in webserver-root directory (6), read access of new file (8) webserver-agent: download of unknown file (7).
This implies that once the dynamical system enters one of the identified steady states for some time (t^ ge 0), the corresponding agents' beliefs cease to evolve over time as well.
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The symbol "–" in Table 16 means that the corresponding agent is not suitable for the corresponding product.
The symbol "–" in Tables 14 and 15 means that the corresponding agent is not capable of producing the corresponding Part.
The distributed event-triggering function, which only employs the information of the corresponding agent and the states of its neighbors, is designed for each agent in the system.
In our work, we can use an arbitrary BPMN diagram and map it to the corresponding agent model, based on an OCMAS approach.
We suppose that each agent satisfies the dynamics dot{x}_{i}(t) = u_{i}(t), (4) where (u _{i}) is the protocol, which is designed based on the state information received by the corresponding agent from its neighbors.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com