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Informatique et Mathématiques appliquées
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> Formation > Cursus ingénieur

Intelligent Systems: Reasoning and Recognition - 4MMSIRR6

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  • Number of hours

    • Lectures : 15.75
    • Tutorials : 15.75
    ECTS : 3.0

Goals

This course provides an introduction to techniques for constructing systems that exhibit human level intelligence. The first half of the class covers techniques for machine learning and pattern recognition, including Bayesian learning, artificial neural networks, unsupervised learning and support vector machines. The second half of the class covers techniques for symbolic reasoning systems including planning and problem solving, diagnostic reasoning, rule based programming, reasoning with temporal and spatial relations, and causal reasoning with Bayesian networks.

Programming exercises are performed in Python and the NASA CLIPS symbolic reasoning programming environment.

All lectures are taught in English.

Contact James CROWLEY

Content

1. Introduction to intelligent systems.
2. Performance Evaluations
3. Bayesian Machine learning
4. Non supervised learning and clustering with K-means and EM
5. Artificial Neural Networks and deep learning.
6. Decision Trees and random forests.
7. Planning and problem solving.
8. Rule based systems
9. Reasoning with spatial, temporal and other forms of relations.
10. Diagnostic and Causal reasoning with Bayesian networks and probabilistic graph models.



Prerequisites

Basic notions of Symbolic Logic
Basic techniques from Probability and statistics
Linear Algebra
Object oriented programming.

Tests

3 Hour written exam, all documents and course notes authorised.



N1=E1
N2=E2

Additional Information

Curriculum->Information Systems Engineering->Semester 8

Bibliography

  • Polycopié du cours / Course Notes
  • C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.
  • P. Lucas and L. Van de Gaag, Principles of Expert Systems Programming, Addison Wesley, 1991.

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Date of update January 15, 2017

Grenoble INP Institut d'ingénierie Univ. Grenoble Alpes