Course detail

Agents and Multiagent Systems

FIT-AGSeAcad. year: 2013/2014

Concepts of artificial agent; 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.

Language of instruction

English

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. František Zbořil, Ph.D.

Department

Department of Intelligent Systems (UITS)

Offered to foreign students

Of all faculties

Learning outcomes of the course unit

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

Prerequisites

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

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course uses teaching methods in form of Lecture - 2 teaching hours per week, Computer exercise - 1 teaching hour per week, Projects - 1 teaching hour per week.

Assesment methods and criteria linked to learning outcomes

Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.

Course curriculum

  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), 2APL Tool
  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. Coalition forming, obligations and norms. An example of coalitin forming algorithm.
  11. Distributed planning.
  12. MAS modelling. Agent's roles, AUML, GAIA.
  13. Realisation of the MAS. FIPA abstract architecture.

 

Work placements

Not applicable.

Aims

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.

Specification of controlled education, way of implementation and compensation for absences

  • Mid-Term written test
  • Individual project

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic 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

Recommended reading

  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

Classification of course in study plans

  • Programme IT-MGR-1H Master's

    branch MGH , any year of study, winter semester, recommended

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

doc. Ing. František Zbořil, Ph.D.

Syllabus

  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), 2APL Tool
  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. Coalition forming, obligations and norms. An example of coalitin forming algorithm.
  11. Distributed planning.
  12. MAS modelling. Agent's roles, AUML, GAIA.
  13. Realisation of the MAS. FIPA abstract architecture.

 

Exercise in computer lab

10 hours, optionally

Teacher / Lecturer

doc. Ing. František Zbořil, Ph.D.

Project

16 hours, optionally

Teacher / Lecturer

doc. Ing. František Zbořil, Ph.D.