Knowledge Dynamics§

auteur:Pierre-Antoine Champin
adresse:Département Informatique - IUT - Lyon1
licence:Ce travail est sous license Creative Commons Attribution-ShareAlike 3.0 France

Summary§

In this module, we will focus on the dynamics of knowledge and of knowledge engineering. We will study the interactive and iterative processes that allow to produce knowledge that are usable by the tools of artificial intelligence.

We will describe the traditional approaches of knowledge engineering (knowledge acquisition, knowledge management, knowledge sharing) and show their limits. Then, we will show that a real AI system must be able to build its own knowledge. We will emphasize the fundamental role of the user in those processes, showing how the knowledge built that way is anchored in the interactions between the user and the system.

We will study different situation of knowledge-building, in particular the use of interaction traces, and collaborative knwoledge-building on the semantic Web.

Schedule§

When Who What
14/09/2017 (08h-10h) P-A. Champin Introduction: managing dynamics in knowledge engineering
14/09/2017 (10h-12h) P-A. Champin The semantic Web: AI meets the Web
21/09/2017 (10h-12h) B. Fuchs Case-based reasoning
28/09/2017 (08h-10h) L. Medini Iterative reasoning
28/09/2017 (10h15-12h15)
05/10/2017 (08h-10h) L. Medini Iterative reasoning (TD)
05/10/2017 (10h-12h) L. Medini Iterative reasoning (TP)
12/10/2017 (08h-10h) P-A. Champin Trace models and meta-models
12/10/2017 (10h-12h) P-A. Champin Project
19/10/2017 (08h-10h) P-A. Champin Trace transformation and visualization
19/10/2017 (10h-12h) P-A. Champin Project
25/10/2017 (14h-16h) P-A. Champin Project
26/10/2017 (10h-12h) B. Fuchs Interactive Knowledge Discovery
07/11/2017 (09h-12h)   Project presentations
15/11/2017 (14h-16h)   Exam

Evaluation§

This module is evaluated through:

  • a written exam (1h30, 40% of the final grade)
  • a project (20% for the presentation, 20% for the report)
  • practical work (20%)