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Additionally, several system agents are designed for monitoring the traffic and performance of the framework and sharing information.
System agents are strong intentional agents that base deductions on a mental state comprising of Beliefs, Desires and Intentions (BDI).
Various system agents are designed to collaborate and adaptively modify the setting of distance relay zone 3 via communication with neighboring substations.
Under the real-world CRN-RF environments, the system agents are mutually dependent on each other to maximize their payoffs.
The system agents are freight vehicle drivers that compete for the use of the mall's parking facilities, while delivering/picking up goods at the in-malls stores.
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A new mechanism of interaction and cooperation between system agents is presented in the "Improving information management" section.
As stochastic renewable production units become ubiquitous throughout electric energy systems, an increasing level of flexible backup provided by non-stochastic units and other system agents is needed if supply security and quality are to be maintained.
The expert systems agents are implemented in Knowledge Representation Object Language (KROL) and JAVA languages using KADS knowledge engineering methodology on the WWW platform.
In this work, we model supply chain as a multi-agent system where agents are subject to an adjustable autonomy.
To achieve this, we utilize an agent-based management system where agents are organized in a three-level hierarchy.
All reticuloendothelial system (RES) agents are superparamagnetic iron oxide-based contrast agents (SPIO).
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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