Course unit
Last updated: 26/09/2024
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Course Director(s):
NARDIN Luis-Gustavo
General Description:
This course explores the coordination techniques through the distributed AI and multi-agent paradigms. We first recap the AI basic, before expounding some useful multiagent techniques for cyberphysical and socio-technical systems: distributed optimisation, distributed planning, negotiation and auctions, and environment-mediated coordination.
This teaching unit counts for 5 credits (/30 total for a semester).
Key words:
coordination
distributed optimization
constraint processing
multi-agent systems
Number of teaching hours
36
Fields of study
Computer Science, Information Systems
Teaching language
English
Intended learning outcomes
| On completion of the unit, the student will be capable of: |
Classification level |
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Learning assessment methods
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Percentage ratio of individual assessment
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Percentage ratio of group assessment
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Written exam:
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66
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%
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Project submission:
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34
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%
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Individual oral exam:
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%
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Group presentation:
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%
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Individual presentation:
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%
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Group practical exercise:
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%
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Individual practical exercise:
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%
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Group report:
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%
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Individual report:
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%
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Other(s): %
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Programme and content
| Type of teaching activity |
Content, sequencing and organisation |