Title:

Agents and Multiagent Systems

Code:AGS
Ac.Year:2017/2018
Term:Summer
Curriculums:
ProgrammeBranchYearDuty
IT-MSC-2MBI-Compulsory-Elective - group I
IT-MSC-2MBS-Elective
IT-MSC-2MGM-Elective
IT-MSC-2MIN1stCompulsory
IT-MSC-2MIS-Compulsory-Elective - group C
IT-MSC-2MMI-Elective
IT-MSC-2MMM-Compulsory-Elective - group N
IT-MSC-2MPV-Elective
IT-MSC-2MSK-Elective
Language:Czech
Private info:http://www.fit.vutbr.cz/study/courses/AGS/private/
Credits:5
Completion:examination
Type of
instruction:
Hour/semLecturesSem. ExercisesLab. exercisesComp. exercisesOther
Hours:26001313
 ExaminationTestsExercisesLaboratoriesOther
Points:60200020
Guarantee:Zbořil František, doc. Ing., Ph.D., DITS
Lecturer:Zbořil František, doc. Ing., Ph.D., DITS
Instructor:Samek Jan, Ing., Ph.D., DITS
Šimek Václav, Ing., DCSY
Faculty:Faculty of Information Technology BUT
Department:Department of Intelligent Systems FIT BUT
Schedule:
DayLessonWeekRoomStartEndLect.Gr.St.G.EndG.
WedlecturelecturesG20209:0010:501MIT13 MIN13 MIN
WedlecturelecturesG20209:0010:502MITxxxx
 
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.
Description:
  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.
Knowledge and skills required for the course:
  It is necessary to have fundamental knowledge of formal logic, artificial intelligence, system modelling and programming for this course.
Subject specific learning outcomes and competences:
  Course graduate gains knowledge about recent approaches to building models with intelligent autonomous entities - 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
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.
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
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
Progress assessment:
  
  • Mid-Term written test
  • Individual project