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, or performance. In this project, the research done by the PhD student will address the interaction layer in a multi-agent systems. It will focus on how to secure interactions can be generated based on emerging and
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deployed in a variety of environments, ranging from public repositories such as Hugging Face, to proprietary cloud-based platforms, following the Model-as-a-Service (MaaS) paradigm. These models, whether
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modeling builds on agent-based modeling but focuses on relations, not agents, and emphasizes the role of the researchers and their tools in constituting the model and the generated knowledge (Schlüter et al
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decision-support environments). Knowledge of network science, knowledge graphs, temporal networks, graph-based modelling, or complex systems; Experience with simulation (e.g., epidemiological spread, agent
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planning tool which models how autonomous agents make decisions in an uncertain world. This project focuses on designing systems of interaction between agents in order to achieve complex, multi-objective
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, comparing it with other drug classes and countries. Applying a mixed-method approach, the project integrates qualitative case studies with quantitative Social Network Analysis, simulations (Agent-Based Models
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LLM-based scientific agents. In the project, you will (i) identify potential sources of uncertainties in AI agents, (ii) investigate ways to assess the quality of uncertainty estimates by standard
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the quality of uncertainty estimates by standard methods for LLMs, particularly with deep generative models, and (iii) develop a benchmark for uncertainty quantification in LLM-based scientific agents. The main
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experimentally verified results is a necessary: Research Topics: Learning-Based Autonomous Systems for Field Robotics Reinforcement learning-based navigation Multi-agent coordination and communication-aware
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, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory