Subject description - XP33DID

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XP33DID Distributed Artificial Intelligence
Roles:S Extent of teaching:2P+1S
Department:13133 Language of teaching:CS
Guarantors:Lhotská L. Completion:ZK
Lecturers:Lhotská L. Credits:4
Tutors:Lhotská L. Semester:Z

Anotation:

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.

Course outlines:

Exercises outline:

Literature:

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

Requirements:

Subject is included into these academic programs:

Program Branch Role Recommended semester
DOKP Common courses S
DOKK Common courses S


Page updated 27.11.2020 21:14:51, semester: L/2021-2, Z,L/2020-1, L/2019-20, Z/2021-2, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)