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. Focusing on adaptive intelligence, which blends human creativity and machine intelligence, the project will develop Multi-Intelligence Agents (MIAs) to facilitate the seamless integration of social factors
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
reply. LLM-based agents is becoming a key part of our everyday life and work, handling multi-step actions in a variety of application domains. However, an important open challenge is making these agents
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training, and interactions among autonomous entities can lead to vulnerabilities. These concerns are amplified in decentralized AI and multi-agent systems, when multiple parties (e.g., human or agent) might
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of contaminated soils on soil strength and erosion control. Developing a Model for the Adoption of Agentic AI in Facilities Management: Enabling Autonomous Decision-Making for Sustainable Built Environments
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical