Distributed Artificial Intelligence
The course is not on the list Without time-table
| Code | Completion | Credits | Range |
|---|---|---|---|
| EP33DID | Z,ZK | 2 | 2+0s |
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- Department of Cybernetics
- Synopsis:
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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.
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- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans: