معرفی
Nicola Paoletti is a Researcher affiliated with the Centre for Intelligent Systems. His work focuses on artificial intelligence, machine learning, and automated negotiation strategies, contributing to the UN Sustainable Development Goals. He has published extensively on topics such as deep reinforcement learning for negotiation, multi-agent systems, and Bayesian methods.
Research Interests:
- Development of negotiation algorithms using reinforcement learning
- Automated e-market negotiation models
- Bayesian vs. frequentist approaches in predictive monitoring
- User preference uncertainty in multi-issue scenarios
Recent publications highlight advancements in strategy templates for bilateral negotiations and neural predictive monitoring techniques. His work is referenced in patents and widely shared on platforms like Mendeley, demonstrating impactful contributions to AI-driven decision-making systems.
Advising and Grants:
- Supervised 1 student (specific details not disclosed)
- Active in collaborative research networks focusing on global applications of AI
Labs/Teams:
- Member of the Centre for Intelligent Systems, driving interdisciplinary research in AI and multi-agent systems.
