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Titlebook: Environments for Multi-Agent Systems II; Second International Danny Weyns,H. Dyke Parunak,Fabien Michel Conference proceedings 2006 Springe

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楼主: Conformist
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Black Holes and Nilpotent Orbits,ptual and cognitive aspects within a single coherent conceptual framework by grounding all aspects in the environment. This framework enables an efficient development process built around the rapid prototyping and iterative refinement of multi-agent system specifications by applying model-driven design techniques to the system in its entirety.
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Advances in Geriatric Dermatology used to that purpose, outlining the respective advantages and drawbacks of these technologies. Then, to ground the discussion, it presents a multiagent application for physical object tracking, facilitating the finding of “forgot-somewhere” objects in an environment.
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https://doi.org/10.1007/978-3-030-69590-3TeV, a High Energy Physics experiment consisting of 2500 digital signal processors. Results show environment organization of roles for the lightweight agents embedded within each of the individual processors.
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Advances in Graph Neural Networksouse environment provides support for testing by means of (1) representing dynamism in the warehouse environment in an explicit manner, and (2) detecting conflicts of dynamism in an automated way. The approach is illustrated for the case of testing collision avoidance.
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Grounding Social Interactions in the Environmentptual and cognitive aspects within a single coherent conceptual framework by grounding all aspects in the environment. This framework enables an efficient development process built around the rapid prototyping and iterative refinement of multi-agent system specifications by applying model-driven design techniques to the system in its entirety.
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Augmenting the Physical Environment Through Embedded Wireless Technologies used to that purpose, outlining the respective advantages and drawbacks of these technologies. Then, to ground the discussion, it presents a multiagent application for physical object tracking, facilitating the finding of “forgot-somewhere” objects in an environment.
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Holonic Modeling of Environments for Situated Multi-agent Systemsl-world environments. In order to support this type of environments, we propose the use of an holonic perspective to represent the environment and the agents. In our approach, agents and environment are represented by holons. The environment defines a holarchy. Each agent belong to a specific holon in this holarchy following its needs.
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