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Field
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Your Job: In this master thesis, a multi-agent-based local energy market simulation ASSUME shall be extended to account for district grid constraints. The objective is to investigate how local grid
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Your Job: As part of this master`s thesis, the agent-based energy market simulation ASSUME should be expanded to include the local neighborhood. The goal is to further develop the existing
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-agent systems. Methodology: Integrate ToM models with Reinforcement Learning based frameworks for single-agent and multi-agent decision-making. Develop simulation environments capturing realistic human
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developments in agentic AI. This means that you are expected to stay up to date with research on LLM-based agents, prompting methods, fine-tuning strategies, and multi-agent systems, and to assess how
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argumentative agentic AI approach for chemical development settings based on reinforcement learning but able to shape rewards with the help of ontological knowledge as well as expert knowledge from humans and
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identification of optimization levers while ensuring compliance with safety requirements. The work will be based on process and decision modeling standards (notably BPMN and DMN), enhanced by agent-based AI
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Southwestern University of Finance and Economics | London, England | United Kingdom | about 6 hours ago
, communication, and control via simulations and prototypes. The successful candidate will be able to develop skills in the exciting and emerging field of 6G goal-oriented multi-agent networking. The role may
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the creation of realistic simulated environments based on environmental data. - Defining evaluation protocols and performance metrics (safety, energy, mission efficiency). - Contributing to scientific validation
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diverse spanning ancient urban systems, historical records, and contemporary political and social data · Contributing to the design and implementation of agent-based simulation models and computational
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, communication, and control via simulations and prototypes. The successful candidate will be able to develop skills in the exciting and emerging field of 6G goal-oriented multi-agent networking. The role may