Abstract: This paper is interested in the analysis and the debugging of decentralized asynchronous large-scale multi-agent systems.
Abstract: This paper is interested in the analysis and the debugging of decentralized asynchronous large-scale multi-agent systems.
In this paper, we propose to address this challenging need by designing description devices that reduce the microscopic complexity of the system descriptions.
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The design and debugging of large-scale MAS require abstraction tools in order to work at a macroscopic level of description. Agent aggregation provides ...
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Macroscopic observation involves creating global representations of system dynamics by aggregating microscopic interactions, enabling analysis of large-scale ...
This thesis presents a path planning framework for a very-large-scale robotic (VLSR) system in an known obstacle environment.
This paper presents a theoretical framework for the design and analysis of gradient descent-based algorithms for coverage control tasks involving robot swarms.
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How to Build the Best Macroscopic Description of Your Multi-Agent System? · List of references · Publications that cite this publication.
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Abstract—This paper is interested in the analysis and the debugging of decentralized asynchronous large-scale multi-agent systems. In order to work at scale ...
This paper promotes a separation of concerns via a declarative approach to realize decentralized coordination in Self-organizing Multi-Agent Systems (MAS). In ...