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Dep. Informatique & Réseaux

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April 2026

5

NeurSymAI.png Logic, Knowledge Representation and Probabilities

with             Samuel Reyd     Samuel.jpeg

➜            other AI courses


5


Introduction

The course is organized around weekly topics. For each topic, there is a lecture followed by a lab session. For the lab sessions, students connect to the relevant page on the web site. They will find some text to read, small open questions and small programming exercises that they can try on their own machine (or on the machines provided in the lab room).     

Grading

From 2026 onwards, the grade is ~40% weekly quizes and ~60% final exam. The weekly quizzes will test basic understanding of the course material and the lab sessions. The exam (on paper, no documents, no turned-on device, 90 minutes) will take place at the end of the course, contributing to ~60% of the final grade. It will consist in small short and independent exercises about Prolog, logic and other topics. No documents, no functioning devices.

Labs

Lab sessions are in rooms equipped with machines, but your are welcome to use your own. We will be working with the free Prolog Interpreter SWI-Prolog. Don’t hesitate to ask questions to teachers during the labs, they are there for you.     

Topics

Topics
Dates are 2026     Overview
10 feb     First steps in Prolog
  Slides lecture 1   Without animations
17 feb     Problem solving and Knowledge representation
  Slides lecture 2   Without animations   monkey.pl   invert.pl   simpsons.pl   purge.pl   weather.pl   birds.pl   automaton.pl   testing-prolog.pl   Quiz
24 feb     Propositional Logic
  Slides lecture 3   Without animations   Quiz
10 mar     Predicate Logic
  Slides lecture 4   Without animations   Quiz   Lab in room 1A260
17 mar     Machine Learning
  Slides lecture 5   Without animations   Lab on Natural Language Processing (optional)   Lab in room 1A260   Quiz
31 mar     ProbLog: Probabilistic Prolog
  Slides lecture 6   Without animations   weather.pl   monty-hall.pl   likes.pl   Lab in room 1A260   Quiz
7 apr     Statistical Machine Learning in Problog
  Slides lecture 7   Without animations   fruit.pl   poker-dice.pl   poker-dice-unbiased-samples.pl   poker-dice-biased-samples.pl   Lab in room 1A260   Quiz
14 apr 13h30     Review session
14 apr 15h15     Exam   Past exams:   2025   2024   2023

   read →
PdfIcon.png     A paper on combining external knowledge and large language models    
Gabriel Poesia, Kanishk Gandhi, Eric Zelikman and Noah D. Goodman, Certified Deductive Reasoning with Language Models, Arxiv 2023.
   read →
PdfIcon.png     Interesting paper in The New Yorker on ChatGPT seen as a lossy compression of the Web    
Chiang, T. (2023). ChatGPT is a blurry JPEG of the Web. Annals of Technology - The New Yorker, Feb.
   read →
PdfIcon.png     An short paper on the discovery of concepts and rules in science    
Evans, J. & Rzhetsky, A. (2010). Machine science. Science, 329 (5990), 399-400.

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