Faculty of Information Technology, BUT

Course details

Agents and Multiagent Systems

AGS Acad. year 2012/2013 Summer semester 5 credits

Concepts of artificial agent and multiagent systems, reactive and rational agents. The basic architectures of agent systems, layered architecture, subsumptional architecture. Agent's mental states, intentional systems and their models. BDI system architectures. Communication in multiagent systems, KQML and ACL languages, the basic interaction protocols. Physical and mental conflicts, general approaches to conflict solving, voting, negotiation and argumentation. Behaviour coordination and methods for distributed planning. Social aspects in MAS, obligations and norms. FIPA abstract platform, agent's life cycle. Development and realization of multiagent systems, GAIA methodology and JADE implementation tool.

Guarantor

Language of instruction

Czech

Completion

Examination

Time span

26 hrs lectures, 13 hrs pc labs, 13 hrs projects

Assessment points

60 exam, 20 half-term test, 20 projects

Department

Lecturer

Instructor

Horáček Jan, Ing. (DITS FIT BUT)
Kalmár Róbert, Ing. (DITS FIT BUT)
Samek Jan, Ing., Ph.D. (DITS FIT BUT)

Subject specific learning outcomes and competences

Course graduate gains knowledge about recent approaches to building models with intelligent autonomous entities - agents which are able to solve problems in dynamic and inaccessible environments. The agents are able to deal with conflicts and to perform tasks in a multiagent group. As a part of this course are computer labs where students gain experiences with practical implementation of the agents.

Generic learning outcomes and competences

Programming of agent systems and heterogeneous systems with agents, creation of intelligent systems using multiagent methodology and resolving conflicts with these methods

Learning objectives

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.

Prerequisite kwnowledge and skills

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

Study literature

  1. Ferber, J.: Multi-Agent Systems, 1999, Adisson-Wesley, UK, ISBN 0-201-36048-9
  2. Russel, S., Norvig, P.: Artificial Intelligence, a Modern Approach, Pearson Education Inc., 2003, ISBN 0-13-080302-2
  3. Wooldridge, M.: Reasoning about Rational Agents, 2000, The MIT Press, Cambridge, MA, ISBN 0-262-23213-8

Fundamental literature

  1. Ferber, J.: Multi-Agent Systems, 1999, Adisson-Wesley, UK, ISBN 0-201-36048-9
  2. Russel, S., Norvig, P.: Artificial Intelligence, a Modern Approach, Pearson Education Inc.,  2003, ISBN 0-13-080302-2
  3. Wooldridge, M.: Reasoning about Rational Agents, 2000, The MIT Press, Cambridge, MA, ISBN 0-262-23213-8

Syllabus of lectures

  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. Agint 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. Colaborative planning, mutual decisioning.
  12. MAS modelling. Agent's roles, AUML, GAIA, Prometheus.
  13. Realisation of MAS for small devices, mobile agents and their security.

 

Syllabus - others, projects and individual work of students

Design and realization of an agent or a multiagent system.

Progress assessment

  • Mid-Term written test - 20 points
  • Group project - 20 points
  • Final written examination - 60 points

Course inclusion in study plans

  • Programme IT-MSC-2, field MBI, any year of study, Compulsory-Elective group I
  • Programme IT-MSC-2, field MBS, MGM, MMI, MPV, MSK, any year of study, Elective
  • Programme IT-MSC-2, field MIN, 1st year of study, Compulsory
  • Programme IT-MSC-2, field MIS, any year of study, Compulsory-Elective group C
  • Programme IT-MSC-2, field MMM, any year of study, Compulsory-Elective group N
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