The course "Artificial Intelligence 1" provides an overview on basic approaches of artificial intelligence within the areas of search, planning, knowledge representation, reasoning, and multi agent systems. The aim of this course is to teach foundational principles of symbolic AI approaches, its connections to logic, and basic formalisation aspects. The theoretical concepts taught in the lecture will be accompanied by practical programming exercises with Prolog. The contents of this course are as follows
- Classical Logics and Prolog
- Classical logics
- Search and Automatic Planning
- Uninformed search
- Informed search
- Situation calculus and STRIPS
- Knowledge Representation and Reasoning
- Default logic
- Answer set programming
- Formal argumentation
- Agents and Multi Agent Systems
- Agent models
- Multi agent logics
- Summary and Conclusion
- Wednesdays, 10:15 - 11:45 in F 414
- Thursdays, 14:15 - 15:45 in K 101
- Please register in Teams until April 18
- Assignments are uploaded using SVN. You need a SVN client to upload your assignments.
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Please acknowledge the following guidelines to obtain the credits for this course:
- In order to obtain the credits of this course (6 ECTS), you have to obtain admission to take part in the exam and pass the exam.
- Admission to the exam is granted to all students who achieve 60% of the score obtainable in the exercises of the tutorials and to all students who already gained admission to the exam in 2015, 2016, or 2017.
- Active participation in the tutorials is expected.
- Obligation to register for the exam
- There is an obligation to register for the exam.
- If someone is not correctly registered for the exam before the end of the corresponding deadline, he or she cannot participate in the exam.
- If someone is registered for the exam but does not show up, he or she will fail the exam.
- If you fail the (written) exam you have to do a retake within the next 6 months; this second (or third) exam is orally and has to be scheduled with the lecturer via mail.
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