Course information Professor: Adina Magda Florea Email: adina@cs.pub.ro Teaching assistants: Serban Radu, Andrei Mogos Email: serbanradu@hotmail.com, andrei.mogos@cs.pub.ro,
Artificial Intelligence Master Course description Course details Grading
Final exam - 20% Course activity - 10% Projects - 20% Laboratory - 20% Requirements for completing the course Minimum 7 laboratory attendances and minimum 50% of term activity (from mid-term exam, projects and lab). Course materials A. Florea. Course slides Web Resources |
The course offers theoretical and practical knowledge about intelligent agents, multi-agent systems and the development of complex,
distributed applications, based on intelligent agents, including multi-agent systems for task planning, resource allocation, e-commerce, personal assistants, agents in Internet. Main
subjects: types of agents, multi-agent systems architectures, agent reasoning and behavior, distributed search techniques, multi-agent distributed planning, coordination mechanisms,
negotiation techniques, communication languages and protocols, multi-agent learning, agent oriented programming, and methods to develop applications using agent
technology. |
Syllabus |
Projects |
What are agents and MAS? Agent architectures Communication Knowledge representation Distributed planning Coordination Auctions Negotiation Agent oriented programming MAS Learning Agents and web services Agents and MAS applications |
Project 1 - TBD Project 2 - TBD |