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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Multiagent Systems |
| Learning aims |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Multiagent Systems | Code | 614544005 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 6 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| Introduce the concept of multi-agent systems based on the need for distributed architectures in intelligent systems | AC6 AC7 AC8 |
BC1 BC9 |
CC3 CC6 CC8 |
| Understand the different approaches to intelligent agent architectures | AC5 AC6 |
BC1 BC6 BC7 |
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| Understand the notion of negotiation as a simple aspect inherent to multi-agent systems. | AC6 AC7 |
BC6 BC7 |
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| Understand the notions and basic aspects of communication, coordination and cooperation. | AC6 AC7 |
BC8 |
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| Analyze the various existing methodologies for the development of multi-agent systems. | AC5 AC6 |
BC2 BC8 |
CC2 |
| Know applications of this type of systems in industrial, medical, computer environments, etc. | AC6 |
BC3 BC6 BC7 |
CC4 CC5 CC7 |
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