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| PSYC1107-1 | Artificial Intelligence
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| Duration : | 30h Th |
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| Number of credits : |
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| Lecturer : | Daniel Defays |
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Language(s) of instruction :
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| French language |
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Course contents :
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| The architectures of the systems commonly used in Artificial Intelligence are illustrated through a set of selected examples and software. The main topics covered during the course are : foundations of AI, knowledge representation, reasoning, search, machine learning, expert systems, natural language understanding, planning and robots, agents, models of the mind. The different concepts are presented through systems like STRIPS, SHRDLU, CYC, slipnet based systems, neural networks, cellular automata, genetic algorithms. |
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Learning outcomes of the course :
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| The course has two objectives : acquisition of the basic mathematical and computer oriented concepts used in the study of the mind, acquisition of the basic tools needed to formalise cognitive processes.
At the end of the course, the student should be able to:
-understand a paper, a study using artificial intelligence techniques in a basic way;
-apply the methods which have been studied during the course to simple cases;
-use the tools and the concepts which have been studied during the course to analyse various situations (involving cognitive phenomena like learning, natural language understanding, knowledge representation). |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| Basics of mathematics and logic ¿ General psychology |
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Mode of delivery (face-to-face ; distance-learning) :
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| Ex-cathedra course in the 1st term (module P 21 : Cognitive sciences) |
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Recommended or required readings :
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| Copies of slides distributed by the professor, notes on specific topics plus two reference books :
¿An introduction to artificial intelligence¿ written by J. Finlay et A. Dix, published in 1996 by UCL Press Limited and
¿L'esprit en friche¿ written by D. Defays, published by P. Mardaga in 1987 |
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Assessment methods and criteria :
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| Written exam |
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Contacts :
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| Daniel DEFAYS (ddefays@ulg.ac.be) |
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