Tutorial Notes and Slides

Teaching Materials for Instructors and Students

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Fuzzy Logic

Video of Michael Berthold's Fuzzy Logic Tutorial presented at ACAI-05 (Advanced Course on AI) and available from VideoLectures. "The tutorial will introduce the basics of fuzzy logic for data analysis. Fuzzy Logic can be used to model and deal with imprecise information, such as inexact measurements or available expert knowledge in the form of verbal descriptions. We will first introduce the concepts of fuzzy sets, degrees of membership and fuzzy set operators. After discussions on fuzzy numbers and arithmetic operations using them, the focus will shift to fuzzy rules and how such systems of rules can be derived from available data."

Philosophy and AI

Philosophical Foundations: Some Key Questions 17th International Joint Conference on Artificial Intelligence (4th - 10th August, 2001. Seattle, Washington, USA) PRESENTED BY Aaron Sloman and Matthias Scheutz, The University of Birmingham and Notre Dame University. "This tutorial, presented by tutors with deep knowledge and experience both in philosophy and in AI, will introduce a range of philosophical questions relevant to the goals and methodology of AI as science and AI as engineering, including the contribution of AI to the study of mind, and some unresolved questions about the nature of computational systems and how they relate to physical systems. ...The questions to be discussed include a selection from the following:

• What is computation? How does computation extend our ontology?
• What are virtual machines and how are they related to physical machines?
• What is a virtual machine architecture?
• Can the relations between virtual and physical machines as understood by computer scientists and software engineers shed light on philosophical questions about the relations between minds and brains?
• What sorts of virtual machines can biological evolution produce?
• What sorts of architectures can support our concepts of mentality?
• Under what conditions might it be reasonable to describe a machine as conscious, or as having emotions?
• What are representations, and how many varieties are there?
• What sorts of ontologies are required by different organisms or machines?"

Statistical Data Mining

Statistical Data Mining Tutorials - Tutorial Slides by Andrew Moore, professor of Robotics and Computer Science at the School of Computer Science, Carnegie Mellon University. "The following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms."