Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Bioinformática para Ciencias da Saúde |
Subjects |
Foundations of Artificial Intelligence |
Contents |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Foundations of Artificial Intelligence | Code | 614522003 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
First | Optional | 6 | ||||||||||
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Topic | Sub-topic |
1. Introduction | 1.1. An historical perspective 1.2. Preliminary aspects 1.3. General considerations |
2. Problem-solving | 2.1. Introduction to solving problems in AI 2.2. The state space concept. Searching 2.3. General characteristics of searching processes 2.4. Pure search strategies 2.5. Search strategies in state space |
3. Structured Knowledge Representation | 3.1. Introduction 3.2. Declarative methods 3.3. Procedural methods 3.4. Examples and a practical case 3.5. Production systems |
4. Reasoning in AI | 4.1 Basics of categorical reasoning 4.2 Basics of Bayesian reasoning |
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