Study Programmes 2015-2016
| PSYC5885-1 | ||
| Algorithmic and mathematical approaches of cognitive phenomena | ||
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Duration :
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| 30h Th | ||
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Number of credits :
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Lecturer :
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| Daniel Defays, Jacques Sougné | ||
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Coordinator :
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| Jacques Sougné | ||
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Language(s) of instruction :
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| French language | ||
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Organisation and examination :
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| Teaching in the second semester | ||
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Units courses prerequisite and corequisite :
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| Prerequisite or corequisite units are presented within each program | ||
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Course contents :
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| A series of quantitative approaches used to represent psychological phenomena with a particular focus on neural networks will be presented. The main topics are: the history of algorithmic and mathematical approaches, simulation of intelligent behavior, the Turing machine, modeling of intellectual plasticity with networks (Bayesian, semantic, slipnet), Neural networks, the challenges facing connectionist approaches and their correspondents in the organization of the mind, neural network dynamic and timing issues, representation of forms and their matching, the concept of algorithm, recursion, self-reference and links to consciousness, artificial life. The different concepts will be presented with examples and applications on a computer. | ||
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Learning outcomes of the course :
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| The course must provide to the student a series of basic concepts used in the study of cognitive phenomena and give her useful elements for the formalization of a number of intellectual processes. | ||
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Prerequisite knowledge and skills :
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| Basic mathematical concepts (graph, function) - General cognitive Psychology | ||
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Planned learning activities and teaching methods :
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| The course takes different forms: lectures, computers exercises, presentations by students of papers or models. | ||
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Mode of delivery (face-to-face ; distance-learning) :
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| face-to-face | ||
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Recommended or required readings :
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| We'll provide copies of slides, notes on specific topics and an optional reading list. | ||
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Assessment methods and criteria :
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| Participation in computer labs, presentation of a personal work and oral exam with prior written preparation on a subject covered in the course. Students will be judged on their ability to identify appropriate quantitative approaches to the study of the mind, to perceive their limits and to apply accurately and rigorously the methods presented in the course. | ||
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Work placement(s) :
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Organizational remarks :
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Contacts :
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| D.Defays (ddefays@ulg.ac.be)
J.Sougné (jsougne@ulg.ac.be) |
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