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: Springer, 2011, pp. 34–48. doi: 10.1007/978-3-642-23808-6_3. [4] C. F. Hayes et al., ‘A practical guide to multi-objective reinforcement learning and planning’, Auton. Agents Multi-Agent Syst., vol
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of the PhD student based at CWI in Amsterdam will study integrated hydrogen-electricity markets. In particular techniques from Artificial Intelligence and multi-agent systems for modelling new types of markets
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querying of AI models to intelligent AI agents’ concepts, through agentic workflows. These are among the prime targets of the newly approved AIEXPERT project: “An agentic, multi-layer, GenAI-powered backbone
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targets of the newly approved AIEXPERT project: “An agentic, multi-layer, GenAI-powered backbone to make an AI system explainable, accountable, and transparent”. AIEXPRT envisions a future where AI systems
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to IPCC and IPBES reports, participation to multiple national and European projects, and publications featured in high-ranked scientific journals. Hydrogen and hydrogen-based fuels are expected to play a