Course detail

Agents and Multiagent Systems

FIT-AGSAcad. year: 2017/2018

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. Behavior 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

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

doc. Ing. František Zbořil, Ph.D.

Department

Department of Intelligent Systems (UITS)

Learning outcomes of the course unit

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

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

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

Not applicable.

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

    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. 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.

     
    Syllabus - others, projects and individual work of students:
    Individual project - design of an agent / essay on agent-relating topic.

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. Also to learn how to create such systems and how to programming particular elements there.

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

Not applicable.

Recommended reading

Ferber, J.: Multi-Agent Systems, 1999, Adisson-Wesley, UK, ISBN 0-201-36048-9 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

Classification of course in study plans

  • Programme IT-MSC-2 Master's

    branch MMI , 0 year of study, summer semester, elective
    branch MBI , 0 year of study, summer semester, compulsory-optional
    branch MSK , 0 year of study, summer semester, elective
    branch MMM , 0 year of study, summer semester, compulsory-optional
    branch MBS , 0 year of study, summer semester, elective
    branch MPV , 0 year of study, summer semester, elective
    branch MIS , 0 year of study, summer semester, compulsory-optional
    branch MIN , 1 year of study, summer semester, compulsory
    branch MGM , 0 year of study, summer semester, elective

Type of course unit

 

Lecture

26 hod., 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. 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.

 

Exercise in computer lab

13 hod., optionally

Teacher / Lecturer

doc. Ing. František Zbořil, Ph.D.

Project

13 hod., optionally

Teacher / Lecturer

doc. Ing. František Zbořil, Ph.D.