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Multi-Agent Systems, 7.5 credits
The course focuses on Multi-Agent Systems for automation, already developed systems, existing general frameworks for Multi-Agent System (MAS) and frameworks for Configurable Multi-Agent Systems for automation, to design and deploy a Multi-Agent System to a simulation or real automation system, and relate to the course literature and existing research.
FACTS
CYCLE
Second cycle
ENTRY REQUIREMENTS
General entry requirements and approved result from the following course/courses:
IAI600-Introduction to Artificial Intelligence and Machine Learning and
ATM700-Automation Systems or the equivalent.
PACE OF STUDY
Part-time
TYPE OF INSTRUCTION
On Campus
PROGRAMME/COURSE DATE
TEACHING HOURS
Daytime
APPLICATION DEADLINE
17 April 2023
APPLICATION CODE
HV-E1763
START/END
From v.35 2023 to v.44 2023
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