Course detail
Agents and Multiagent Systems
FIT-AGSAcad. year: 2024/2025
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
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
- Mid-Term test
- Team project
- In order to obtain points in the exam, the exam must be prepared in such a way that it is scored higher than the minimum threshold indicated in the information system (25 points). Otherwise, the exam will be scored 0 points.
Aims
Course graduate gains knowledge about recent approaches to development of multiagent systems. It comprises agents' architectures, interagent communication languages and protocol, as well as multiagent organizations.
Programming of agent systems and heterogeneous systems with agents, creation of intelligent systems using multiagent methodology and resolving conflicts with these methods
Study aids
Prerequisites and corequisites
Basic literature
Wooldridge, M.: Reasoning about Rational Agents, 2000, The MIT Press, Cambridge, MA, ISBN 0-262-23213-8
Woolridge, M.: Introduction to Multiagent Systems, Wiley, 2009 (EN)
Recommended reading
Shoham, Y, Leyton-Brown, K.: Multiagent systems, Algorithmic, Game-Theoretic, and Logical Foundations, Cambridge University Press, 2009
Shoham, Y, Leyton-Brown, K.: Multiagent systems, Algorithmic, Game-Theoretic, and Logical Foundations, Cambridge University Press, 2009
Wooldridge, M.: Reasoning about Rational Agents, 2000, The MIT Press, Cambridge, MA, ISBN 0-262-23213-8
Elearning
Classification of course in study plans
- Programme MITAI Master's
specialization NGRI , 0 year of study, winter semester, elective
specialization NADE , 0 year of study, winter semester, elective
specialization NISD , 0 year of study, winter semester, elective
specialization NMAT , 0 year of study, winter semester, elective
specialization NSEC , 0 year of study, winter semester, elective
specialization NISY up to 2020/21 , 1 year of study, winter semester, compulsory
specialization NNET , 0 year of study, winter semester, elective
specialization NMAL , 0 year of study, winter semester, elective
specialization NCPS , 0 year of study, winter semester, elective
specialization NHPC , 0 year of study, winter semester, elective
specialization NVER , 0 year of study, winter semester, elective
specialization NIDE , 0 year of study, winter semester, elective
specialization NISY , 1 year of study, winter semester, compulsory
specialization NEMB , 0 year of study, winter semester, elective
specialization NSPE , 0 year of study, winter semester, elective
specialization NEMB , 0 year of study, winter semester, elective
specialization NBIO , 0 year of study, winter semester, elective
specialization NSEN , 0 year of study, winter semester, elective
specialization NVIZ , 0 year of study, winter semester, elective
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Introduction to distributed artificial intelligence. Concepts of agent, environment, agent classification.
- Fundamental architectures of reactive and deliberative agents. Situated automata, Subsumptional architecture.
- Formal approaches to the agent systems. Modal logics, Epistemic, Temporal, CTL and BDI logics.
- Rational agent, agent's mental states, IRMA, AgentSpeak(L), dMARS architectures.
- Agent Oriented Programming (AOP), system Agent-0
- Agent's programming in JASON
- Multiagent systems (MAS), general principles of cooperation and conflict solving, game theory for multiagent systems.
- Communication in MAS, KQML and ACL languages, interaction protocols.
- Negotiation, argumentation, voting. Algorithms, protocols and examples.
- FIPA abstract architecture. Programming in JADE
- Collaborative planning, mutual decisioning.
- MAS modelling. Agent's roles, AUML, GAIA, Prometheus.
- Realization of MAS for small devices, mobile agents and their security.
Exercise in computer lab
Teacher / Lecturer
Syllabus
- Two practices - JASON system
- Two practices - JADE system
- Two practices - JACK system
Project
Teacher / Lecturer
Syllabus
Elearning