Objective One of the key open 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 APrIL II project is therefore to develop a sound theoretical understanding of "probabilistic logic learning" that enables one to develop effective probabilistic logic learning systems and to apply them on significant real-life applications. To realize this aim, the APrIL II consortium will (1) develop a number of significant "show-case" applications of "probabilistic logic learning" in the area of bio-informatics, more specifically, concerning protein folding, metabolic pathways, and genetics.(2) develop the needed theory, probabilistic representations, learning algorithms and systems for learning interesting probabilistic logic models in real-life applications on the basis of data. The methodology applied is that of the field of inductive logic programming, which explains the title of the project. Fields of science natural sciencesbiological sciencesgeneticsnatural sciencesbiological sciencesbiochemistrybiomoleculesproteinsprotein foldingnatural sciencescomputer and information sciencesartificial intelligencemachine learning Programme(s) FP6-IST - Information Society Technologies: thematic priority under the specific programme "Integrating and strengthening the European research area" (2002-2006). Topic(s) IST-2002-2.3.4.1 - FET - Open Call for proposal Data not available Funding Scheme STREP - Specific Targeted Research Project Coordinator ALBERT-LUDWIGS-UNIVERSITAET FREIBURG EU contribution No data Address Georges-Koehler-Allee, Building 079 79110 Freiburg Germany See on map Total cost No data Participants (4) Sort alphabetically Sort by EU Contribution Expand all Collapse all IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE United Kingdom EU contribution No data Address 180 Queen's Gate SW7 2BZ London See on map Total cost No data INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE France EU contribution No data Address Domaine de Voluceau 78153 Le Chesnay See on map Total cost No data UNIVERSITA DEGLI STUDI DI FIRENZE Italy EU contribution No data Address Via di Santa Marta 3 50139 Firenze See on map Total cost No data UNIVERSITY OF HELSINKI Finland EU contribution No data Address Teollisuuskatu 23 00014 Helsinki See on map Total cost No data