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Project APrIL --- Application of Probabilistic Inductive Logic Programming

Abstract

One of the key questions of artificial intelligence concerns ``probabilistic logic learning'', i.e. the integration of probabilistic reasoning with first order logic representations and machine learning. The overall goal of the assessment project is to critically investigate ``probabilistic logic learning'' methods by ansswering the following questions:
  1. Are there significant applications for which ``first order Qprobabilistic logic'' is better than state-of-the-art representations?
  2. Can models be learned within such a ``first order probabilistic logic''?

Partners

  • Albert Ludwigs University Freiburg, Germany [ALU-FR]
  • Imperial College of Science, Technology and Medicine, Great Britain [ICSTM]

This page is last updated on: $Date: 2001-10-23 10:09:55+02 $