Distributed Artificial Intelligence

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Cybernetics

Synopsis:

In winter semester 2023/24 the course runs for the last time. In future years, it will not be opened anymore.

Distributed problem solving. Multiagent planning. Cooperation. Coordination.

Communication. Communication strategies, message passing. Various AI

approaches, case studies. Types of agent behavior. Negotiation.

Organizational structuring. Partial global planning. Blackboard systems.

Client-server systems. Peer-to-peer systems. Implementation aspects of

distributed knowledge-based systems. Learning in multiagent systems.

Meta-agent. Agents acquitance models, social knowledge, reflectivity in MAS.

Coalition formation, team work. Formal models of agent architecture.

Requirements:

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Study materials:

Weiss, Gerhard (ed.) Multiagent Systems : A Modern Approach to Distribute

Artificial Intelligence

Note:

Further information:

https://cw.fel.cvut.cz/wiki/courses/xp33did

No time-table has been prepared for this course

The course is a part of the following study plans:

• Doctoral studies, daily studies (compulsory elective course)
• Doctoral studies, combined studies (compulsory elective course)
• Doctoral studies, structured daily studies (compulsory elective course)
• Doctoral studies, structured combined studies (compulsory elective course)