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Instructors: Prof. Dr. rer. nat. Kristian Kersting
Event type:
Integrated Course
Org-unit: Dept. 20 - Computer Science
Displayed in timetable as:
Intro AI
Subject:
Crediting for:
Hours per week:
3
Language of instruction:
German
Min. | Max. participants:
- | -
Course Contents:
Artificial Intelligence (AI) is concerned with algorithms for solving problems, whose solution is generally assumed to require intelligence. While research in the early days was oriented on results about human thinking, the field has since developed towards solutions that try to exploit the strengths of the computer. In the course of this lecture we will give a brief survey over key topics of this core discipline of computer science, with a particular focus on the topics search, planning, learning, and reasoning. Historical and philosophical foundations will also be considered.
- Foundations
- Introduction, History of AI (RN chapter 1)
- Intelligent Agents (RN chapter 2)
- Search
- Uninformed Search (RN chapters 3.1 - 3.4)
- Heuristic Search (RN chapters 3.5, 3.6)
- Local Search (RN chapter 4)
- Constraint Satisfaction Problems (RN chapter 6)
- Games: Adversarial Search (RN chapter 5)
- Planning
- Planning in State Space (RN chapter 10)
- Planning in Plan Space (RN chapter 11)
- Decisions under Uncertainty
- Uncertainty and Probabilities (RN chapter 13)
- Bayesian Networks (RN chapter 14)
- Decision Making (RN chapter 16)
- Machine Learning
- Neural Networks (RN chapters 18.1,18.2,18.7)
- Reinforcement Learning (RN chapter 21)
- Philosophical Foundations
Preconditions:
None
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