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autonomous AI agents capable of reasoning, planning, interacting with blockchain ecosystems, and executing complex financial workflows securely and efficiently. The successful candidate will work closely
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societies, biological systems and groups of artificial agents. It also lies behind practical questions about collective action: whether communities manage shared resources, whether autonomous systems
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societies, biological systems and groups of artificial agents. It also lies behind practical questions about collective action: whether communities manage shared resources, whether autonomous systems
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upon agreement. PROJECT DESCRIPTION The objective of this project is to develop a trustworthy AI framework for the autonomous operation of process plants. The research will focus on AI agents that
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. This project addresses both challenges simultaneously, combining trajectory-centric objectives with adaptive, context-dependent policies. This enables autonomous vehicles to adapt to seasonal changes
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cannot adapt to a changing environment. This project addresses both challenges simultaneously, combining trajectory-centric objectives with adaptive, context-dependent policies. This enables autonomous
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autonomous agents including households, aggregators, and grid operators-must make real-time, interdependent decisions under shared constraints and competing objectives. Multi-agent learning and
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, Ghent University is a logical choice for its staff and students. Within the faculty of Engineering and Architecture, the IDLab research group ( https://idlab.ugent.be/home ) performs research on 1
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cybersecurity knowledge, represented through semantic knowledge graphs, and combined with symbolic reasoning, modern language models, and autonomous agents to support security analysis, situational awareness