TU Delft
Year
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NEDERLANDSENGLISH
Organization
2015/2016 Electrical Engineering, Mathematics and Computer Science Master Computer Science
IN4010(-12)
Artificial Intelligence Techniques
ECTS: 6
Responsible Instructor
Name E-mail
Dr. K.V. Hindriks    K.V.Hindriks@tudelft.nl
Prof.dr. C.M. Jonker    C.M.Jonker@tudelft.nl
Instructor
Name E-mail
Dr. N. Bulling    N.Bulling@tudelft.nl
Assistent
Name E-mail
C.G. Rozemuller    C.G.Rozemuller@tudelft.nl
Contact Hours / Week x/x/x/x
2/2/0/0 college
1/1/0/0 instructie
Pract.
Education Period
1
2
Start Education
1
Exam Period
1
2
3
Course Language
English
Expected prior knowledge
Computer science experience and knowledge at Bachelor level or similar, including in particular knowledge of algorithms (e.g. search algorithms), logic (TI1305), and probability theory (TW2215TI).
Course Contents
Artificial Intelligence techniques for building cognitive agents and decision support systems are presented. Various techniques needed are discussed, including automated reasoning, action selection and planning, and learning. In addition, various models needed to design and build such systems are discussed, including cognitive architectures, mental models, decision making, and strategic interaction.
Study Goals
After successful completion of the course:
- Students have a general overview of artificial intelligence
- Students are able to apply various artificial intelligence techniques
- Students are able to model knowledge and preferences and using knowledge representation languages.
- Students are able to design and implement intelligent agents for complex decision making problems.
Education Method
Lectures, tutorials, lab work
Literature and Study Materials
Stuart J. Russel and Peter Norvig (2010). Artificial Intelligence: A Modern Approach. 3rd Edition. Prentice-Hall. ISBN-13: 978-0-13-604259-4 + additional handouts.
Assessment
Written exam and practical assignments.
Remarks
40 hrs of lab work