Faculty of Information Technology, BUT

Course details

Agent and Multiagent Systems

AGS Acad. year 2006/2007 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. Coordination behaviour. Methods for distributed planning. Social aspects of agent behaviour, terms obligation and norm. FIPA abstract platform, agent's life cycle. Proposal 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

Subject specific learning outcomes and competences

Course graduate gains knowledge about recent approaches to building models with intelligent autonomous entities - agents.

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.

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. Formal approaches to the agent systems. Modal logics, Epistemic, Temporal, CTL and BDI logics.
  3. Rational agent, agent's mental states, IRMA, AgentSpeak(L), dMARS architectures.
  4. Agint Oriented Programming (AOP), 2APL Tool
  5. Multiagent systems (MAS), general principles of cooperation and conflict solving, game theory for multiagent systems.
  6. Communication in MAS, KQML and ACL languages, interaction protocols.
  7. Negotiation, argumentation, voting. Algorithms, protocols and examples.
  8. Coalition forming, obligations and norms. An example of coalitin forming algorithm.
  9. Distributed planning.
  10. MAS modelling. Agent's roles, AUML, GAIA.
  11. Realisation of the MAS. FIPA abstract architecture.
  12. Tools FIPA-OS, JADE.

Syllabus - others, projects and individual work of students

Group project, study and an essay about an agent topic

Progress assessment

  • Mid-Term written test
  • Individual project

Course inclusion in study plans

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