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unsupervised learning Distributed / decentralised command and control: synchronisation, coordination, adaptation, for example using multi-agent systems Decision support under uncertainty Modelling and simulation
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implications: explore scenarios of AI’s commercial development, particularly the rise of agentic and multi-agent systems, and assess their potential environmental impacts. Indirect effects: estimate the indirect
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 19 days ago
Lille – Nord Europe, Villeneuve d’Ascq, in the Inria team-project Scool (Sequential, Continual and Online Learning), with strong regular interactions with CIRAD AIDA unit in Montpellier. Keywords: Multi
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: the originality of the project lies in the articulation of theoretical and empirical approaches, and in the design of multi-attribute incentive devices to improve the mobility of agents based on their situation