Résultats exploitables
Inductive logic programming (ILP) has been used to greatly improve computer learning. ILP is a novel technology, and is now the most promising subfield of machine learning. By collaboration between ILP experts and specialists in particular domains, computer programmes are being developed to look for underlying regularities or rules in large bodies of data. Using a combination of logical analysis, background knowledge and observational data, efficient computer programmes find rules which can be used in forming predictive models. These rules are used to advance more general hypotheses, which contribute to the understanding of the problem. Current applications include the design of drugs for the pharmaceutical industry, analysis of stress in physical structures in manufacturing industry and engineering, and in the modelling of algal growth for the purposes of environmental management.
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