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Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
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Course Details
Context
Academic Year 2020/2021
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (481) Computer Science and Engineering
Track T2A - COMPUTER SCIENCE AND ENGINEERING
Programme Year 1

Course Details
ID Code 089169
Course Title AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Period 1st semester
Course Description Introduction to the concepts of autonomous agents and of multiagent systems. Autonomous agents as rational decision makers: architectures for intelligent agents, Markov decision processes. Interactions between self-interested agents: short introduction to game theory, negotiations, voting mechanisms, auctions for resource allocation, coalition formation. Interactions between cooperative agents: decision-theoretic multiagent planning, distributed constraint optimization. Multiagent learning: multiagent Markov decision processes and stochastic games, evolutionary game theory. Examples of real-world applications of agent-based systems
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
B
ING-INF/05
INFORMATION PROCESSING SYSTEMS
5.0

Schedule, add and removeAlphabetical groupLecturer(s)LanguageTeaching Assignment Details
From (included)To (excluded)
---AZZZZAmigoni Francesco
manifesti v. 3.14.3 / 3.14.3
Area Servizi ICT
15/05/2026