Ιntelligent Agents and Multiagent Systems
|Lecture hours||4 hours|
|Digital resources||View on Aristarchus (Open e-Class)|
Upon successful completion of this course, students should be able to know principles, paradigmatic architectures and methods for developing single agent and multi agent systems, have a critical and informed view of strengths and limitations regarding agents and multi agent systems, towards designing and delivering such systems.
Specifically, students know and acquire the abilities to develop:
- Architectures of single and multi-agent systems
- Methods for agents coordination, collaboration and competition in specific settings and paradigmatic environments and problems
- Agents’ communication methods and protocols
Via the critical view of agents technology and experience in developing such systems.
- Agents: Principles, architectures and application examples
- Deliberation vs Reaction: Architectures
- Mental attitudes, states and their representation
- Multi-agent Systems: Interactions and dependencies
- Multiagent organizations and communication
- Cooperation and collaboration
- Agents communication
- Michael Wooldridge, Introduction to MultiAgent Systems, 2008.
- Yoav Shoham, Kevin Leyton-Brown Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, Cambridge University Press, 2009.
- Gerhard Weiss, Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, MIT Press, 2000.
- John Miller Scott Page, Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity), Princeton University Press, 2007.
- David Easley, Jon Kleinberg, Networks, Crowds, and Markets: Reasoning About a Highly Connected World, Cambridge University Press 2010.
Associated scientific Journals
- Autonomous Agents and Multi-Agent Systems, Springer, ISSN: 1387-2532
- IEEE Distributed Systems, ISSN: 1541-4922