Distributed Artificial Intelligence

Lecturer:

Lenka Lhotská (gar.)

Tutor:

Lenka Lhotská (gar.)

Supervisor:

Department of Cybernetics

Synopsis:

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:

Time-table for winter semester 2011/2012:

Time-table is not available yet

Time-table for summer semester 2011/2012:

Time-table is not available yet

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)