Agents and Multiagent Systems

• 26 hrs lectures
• 13 hrs pc labs
• 13 hrs projects

• 60 pts final exam (written part)
• 20 pts mid-term test (written part)
• 20 pts projects

The aim of this course is to acquaint students with principles of operations and with designs of systems with agents - autonomous intelligent entities and also with systems containing more such agents. Also to learn how to create such systems and how to programming particular elements there.
Course graduate gains knowledge about recent approaches to development of multiagent systems. It comprises agents' architectures, interagent communication languages and protocol, as well as multiagent organizations.
Programming of agent systems and heterogeneous systems with agents, creation of intelligent systems using multiagent methodology and resolving conflicts with these methods

It is necessary to have fundamental knowledge of formal logic, artificial intelligence, system modelling and programming for this course.

• Russel, S., Norvig, P.: Artificial Intelligence, a Modern Approach, Pearson Education Inc., 2003, ISBN 0-13-080302-2
• Wooldridge, M.: Reasoning about Rational Agents, 2000, The MIT Press, Cambridge, MA, ISBN 0-262-23213-8
• Shoham, Y, Leyton-Brown, K.: Multiagent systems, Algorithmic, Game-Theoretic, and Logical Foundations,  Cambridge University Press, 2009
• Shoham, Y, Leyton-Brown, K.: Multiagent systems, Algorithmic, Game-Theoretic, and Logical Foundations,  Cambridge University Press, 2009

• Russel, S.Norvig, P.: Artificial Intelligence, a Modern Approach, Pearson Education Inc., 2003, ISBN 0-13-080302-2 

• Wooldridge, M.: Reasoning about Rational Agents, 2000, The MIT Press, Cambridge, MA, ISBN 0-262-23213-8

• Woolridge, M.: Introduction to Multiagent Systems, Wiley, 2009

1. Introduction to distributed artificial intelligence. Concepts of agent, environment, agent classification.
2. Fundamental architectures of reactive and deliberative agents. Situated automata, Subsumptional architecture.
3. Formal approaches to the agent systems. Modal logics, Epistemic, Temporal, CTL and BDI logics.
4. Rational agent, agent's mental states, IRMA, AgentSpeak(L), dMARS architectures.
5. Agent Oriented Programming (AOP), system Agent-0
6. Agent's programming in JASON
7. Multiagent systems (MAS), general principles of cooperation and conflict solving, game theory for multiagent systems.
8. Communication in MAS, KQML and ACL languages, interaction protocols.
9. Negotiation, argumentation, voting. Algorithms, protocols and examples. 
10. FIPA abstract architecture. Programming in JADE
11. Collaborative planning, mutual decisioning.
12. MAS modelling. Agent's roles, AUML, GAIA, Prometheus.
13. Realization of MAS for small devices, mobile agents and their security.

1. Two practices - JASON system
2. Two practices - JADE system
3. Two practices - JACK system

Team project - design of a mulitagent system, cooperative planning, coordination, negotiation

• Mid-Term test
• Team project
• In order to obtain points in the exam, the exam must be prepared in such a way that it is scored higher than the minimum threshold indicated in the information system (25 points). Otherwise, the exam will be scored 0 points.