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CSMAINT Artificial Intelligence
Aims
Over the last 40 years Artificial Intelligence has developed into one of the core disciplines of computer
science, combining symbolic reasoning (usually logic based) and optimised algorithms to provide solutions
to complex and computationally difficult problems such as machine learning, visual recognition, natural
language processing, planning and robotics.
This course presents the main issues encountered in artificial intelligence and introduces approaches to
deal with them.
Learning
Outcomes
The student should understand problems faced by AI in a variety of application domains and become
familiar with the basic techniques to solve them.
Syllabus
Format
Introduction, History of AI
Problem Solving by Searching
Logical Formalisms in AI
Uncertainty and Non-monotonic Reasoning
Planning
Natural Language Processing
Possible Extensions:
Introduction to Computer Vision
Introduction to Robotics
Introduction to Neural Networks
Two lectures and one tutorial per week for 10 weeks
Programmes
G404 MSci in Computer Science
Year 4
GGD4 MSci in Mathematics and Computer Science Year 4
Semester
First
References
Lecturer
Artificial Intelligence: A Modern Approach, Stuart J. Russell, Peter Norvig, 2nd edition, Prentice
Hall, 2003, ISBN: 0137903952.
Computational Intelligence. A Logical Approach, David Poole, Alan Mackworth and Randy Goebel,
Oxford University Press, 1998, ISBN: 0-19-510270-3.
Artificial Intelligence: A New Synthesis, Nils Nilsson, Morgan Kaufmann, 1998, ISBN: 1558605355.
Dov Gabbay and Gabriella Pigozzi
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