%------------------------------------------------------------------------------% ILP Newsletter Volume 1, Number 1, 22nd February 1994 %------------------------------------------------------------------------------% Address all communication related to the ILP Newsletter to ilpnet@ijs.si To subscribe/unsubscribe send email with subject SUBSCRIBE/UNSUBSCRIBE ILPNEWS Send contributions in messages with subject heading ILPNEWS CONTRIBUTION Send comments and suggestions under subject heading ILPNEWS COMMENTS %------------------------------------------------------------------------------% Contents: - About ILPNET, The Inductive Logic Programming Scientific Network - About the GMD repository of ILP publications, data and programs - SIGART Special issue on Inductive Logic Programming - List of ILP and ILP-related books - ILP book announcements - Call for papers: Workshops on Declarative Bias and Theory Revision - Call for papers: Fourth International ILP Workshop (ILP'94) %------------------------------------------------------------------------------% %------------------------------------------------------------------------------% About ILPNET, The Inductive Logic Programming Scientific Network ---------------------------------------------------------------- ILPNET is the Inductive Logic Programming Pan-European Scientific Network, financially supported by the European Community Action for Cooperation in Science and Technology with Central and Eastern European Countries (PECO 92), contract no. CIPA3510OCT920044. ILPNET is being financed for the duration of three years, starting on July 26, 1993. Aims and objectives ------------------- Inductive Logic Programming (ILP) is a research area in the intersection of inductive machine learning and computational logic. The goal of ILP is to upgrade the techniques of the classical inductive machine learning paradigm to a logic programming framework. The aim of the scientific network ILPNET is to stimulate the development, coordination, communication and exchange of results and personnel in European ILP research and to disseminate the research results to a wider European/world community. In the scientific sense, the goal of ILPNET is to provide the infrastructure for the ongoing European research in ILP, most of which is currently performed within the ESPRIT III Basic Research Project No. 6020 Inductive Logic Programming (coordinated by Luc De Raedt and Maurice Bruynooghe, Katholieke Universiteit Leuven). ILPNET has the following objectives: - Support the existing and build new communication channels between ILPNET nodes. - Coordinate and enable joint research activities by supporting short visits of researchers at other ILPNET nodes. - Support organizing and attending specialized meetings and workshops. - Build a common database of ILP scientific publications, data and systems. - Promote the results of ILP research also outside ILPNET. Structure of ILPNET ------------------- ILPNET consists of 19 European research institutions. The coordinating node of ILPNET is the J. Stefan Institute, Ljubljana, Slovenia. Table 1 is a list of ILPNET nodes. Given are the names of Project Managers, their email addresses, and the ILPNET node acronym, name, town and country. -------------------------------------------------------------------------------- Table 1. ILPNET nodes and project managers. -------------------------------------------------------------------------------- |Project Manager | Email | ILPNET Node Acronym | Name, Town | Country -------------------------------------------------------------------------------- -| N. Lavrac | nada.lavrac@ijs.si | LAI--IJS | J. Stefan Institute, Ljubljana | | Slovenia | -------------------------------------------------------------------------------- -| A. Jezernik |jezernik@uni-mb.si | TFM | Faculty of Technical Sciences, Maribor | Slovenia | -| Z. Markov | markov@iinf.bg | SO | Bulgarian Academy of Science, Sofia | Bulgaria | -| O. Stepankova | step@lab.felk.cvut.cz | CTU | Czech Technical University, Prague | Czech Republic | -| G. Tecuci | tecuci@cs.gmu.edu | RA | Romanian Academy of Science, Bucharest | Romania | -------------------------------------------------------------------------------- -| I. Mozetic | igor@ai.univie.ac.at | OFAI | Austrian Research Institute for AI Vienna | Austria | -| P. Brazdil | pbrazdil@ncc.up.pt | LIACC | University of Porto | Portugal | -| K. Morik | morik@kimo.informatik.uni-dortmund.de | UDO | | University of Dortmund, Dortmund | Germany | -| L. De Raedt | lucdr@cs.kuleuven.ac.be | KUL | Katholieke Universiteit Leuven | Belgium | -| C. Rouveirol | celine@lri.fr | LRI | Universite Paris-Sud | France | -| S. Wrobel | stefan.wrobel@gmd.de | GMD | GMD, Bonn | Germany | -| B. Tausend | tausend@informatik.uni-stuttgart.de | STU | | University of Stuttgart | Germany | -| S. Muggleton | steve@comlab.ox.ac.uk | OUCL | Oxford University | UK | -| F. Bergadano | bergadan@di.unito.it | TO | University of Torino | Italy | -| C.G. Jansson | calle@dsv.su.se | STO | University of Stockholm | Sweden | -| P.A. Flach | flach@kub.nl | KUB | Tilburg University | Netherlands | -| R. Wirth | wirth@faw.uni-ulm.de | FAW | FAW, Ulm | Germany | -| M. Kubat | mirek@dpmi.tu-graz.ac.at | TUG | Technical University, Graz | | Austria | -| T. Gyimothy | h42gyi@ella.hu | HA | Hungarian Academy of Scence, Szeged | | Hungary | -------------------------------------------------------------------------------- The management structure of ILPNET is the following: ------------------------------ - Academic Coordinator: Nada Lavrac, J. Stefan Institute, Ljubljana. - Management Board: Consists of the Academic Coordinator and 18 Project Managers of ILPNET nodes (Table 1 lists the names of the Project Managers). - Academic Secretary: Darko Zupanic, J. Stefan Institute, Ljubljana Contact: -------- Nada Lavrac, Darko Zupanic Jozef Stefan Institute, Jamova 39, 61111 Ljubljana, Slovenia phone +386 61 12 59 199, fax +386 61 12 58 058 and +386 61 219 385 Email: {Nada.Lavrac,Darko.Zupanic}@ijs.si ILPNET activities ----------------- The first ILPNET Management Board meeting was held in Paris on October 2, 1993. The second Management Board meeting will be held at ECML'94, Catania, Italy. Tentative date: April 8, 1994. The first Management Board meeting was attended by: Francesco Bergadano, Pavel Brazdil, Saso Dzeroski, Luc De Raedt, Peter Flach, Danielle Gunetti, Tibor Gyimothy, Carl Gustaf Jansson, Nada Lavrac, Igor Mozetic, Stephen Muggleton, Celine Rouveirol, Olga Stepankova, Birgit Tausend, Steffo Weber, Rudiger Wirth and Stefan Wrobel. Agenda of the Management Board meeting: --------------------------------------- 1. Formal meaning and contents of the minutes of the ILPNET meeting. 2. Information about the new phone/fax numbers of J. Stefan Institute. 3. ILPNET Newsletter and its relation to ML Net Newsletter. 4. Status of the ILP Human Capital and Mobility proposal. 5. Appointment of ILPNET secretary. 6. ILPNET partners, two new partners (FAW, Ulm and Technical University, Graz) and proposal for the acceptance of another new partner. 7. ILPNET contract with CEC. 8. Communication infrastructure. 9. Policy of acknowledgement of ILPNET support 10. Workplan - ILPNET brochure - Database of ILP publications - Database of ILP data sets - Archive of ILP software - ILP workshops (status of ILP93 workshop Bled, ILP94 workshop) - Exchanging visits of scientists/planned work on common projects - Next ILPNET meeting 11. Deliverables. 12. Reports as requested by Annex II. 13. Confirmation of agreements made about contract and financial arrangements. 14. Various. The minutes of the MB meeting were taken by Saso Dzeroski and were approved by MB members via Email. Approved minutes act as an operational workplan for the activities of the ILPNET in the first year of the project. The following subsections report on ILPNET activities, --------------------------- performed in accordance with the workplan for the first year. Workshops --------- The Third International Inductive Logic Programming Workshop (program chair: Stephen Muggleton, conference chair: Nada Lavrac) was organized by the J. Stefan Institute and held at Bled, on April 1-3, 1993. The Fourth International Inductive Logic Programming Worhskop (program and conference chair: Stefan Wrobel) will be organized by GMD. It will be held in Bad Honnef/Bonn in the second year of the project, on September 12-14, 1994 - the call for papers has already been widely distributed. Newsletter ---------- ILPNET starts with publishing a newsletter, edited by Saso Dzeroski and Nada Lavrac. The ILP Newsletter will include material relevant to ILPNET and ILP in general, including a calendar of ILP events, conference reports (from the ILP perspective), book reviews, etc. A selection of information appearing in the ILP Newsletter will be forwarded to the ML Net Newsletter and the ML mailing list. Initially, the ILP Newsletter will be distributed only electronically, one issue will be printed out for the archive. It is planned to distribute the ILP Newsletter also in printed form later on. Mailing lists ------------- Three mailing lists will be established: - ILPNET: a list of ILPNET Project Managers and some other ILPNET node members. - ILPNEWS: a list of ILP Newsletter subscribers. - ILPWORLD: a list of individuals interested in ILP. Databases --------- One of the main goals of ILPNET is to establish a central database which will store a list of scientific publications relevant to ILP, public domain prototypes of ILP systems, and data concerning ILP applications. The archive of data sets can be used as a testbed for novel ILP systems. In year 1, all databases will be collected at GMD. They can be accessed by anonymous ftp to ftp.gmd.de on directories /MachineLearning/ILP/public/bib, /MachineLearning/ILP/public/data and /MachineLearning/ILP/public/software. A uniform environment for accessing ILP references, data and software will be designed at IJS in the second year of the project. Publications ------------ In year 1, a database of bibliographic references relevant to ILP will be collected at GMD and maintained by IJS. It can be accessed by anonymous ftp to ftp.gmd.de on directory /MachineLearning/ILP/public/bib. A new format for establishing uniform labeling of references is currently being developed at IJS, adopted from KUL. Datasets -------- In year 1, the database of ILP data sets is being collected at GMD. It will be accessible by anonymous ftp to ftp.gmd.de directory /MachineLearning/ILP/public/data. Software -------- In year 1, the archive of ILP software is being kept at GMD. The directory /MachineLearning/ILP/public/software presently contains MOBAL with the following ILP learners: RDT, GOLEM, FOIL, mFOIL, MacCLINT and INDEX, as well as MILES, a flexible environment for tests with ILP methods. %------------------------------------------------------------------------------% %------------------------------------------------------------------------------% GMD MachineLearning-Archive: Announcement and Call for Contributions The ML-archive ftp.gmd.de:/MachineLearning [129.26.8.90] contains a growing collection of Machine Learning related papers, articles, tech reports, data, and software with a particular focus on results achieved by the European ESPRIT research projects "Machine Learning Toolbox" (MLT) and "Inductive Logic Programming" (ILP), the European Network of Excellence in Machine Learning (MLnet) and the Inductive Logic Programming Pan-European Scientific Network (ILPnet). For example, the archive presently contains - the source code of Stephen Muggleton's and Cao Feng's learning sys- tem Golem (in "/MachineLearning/ILP/public/software/golem"), - a BibTex file with around 325 entries of articles related to ILP ("/MachineLearning/ILP/public/bib"), - the knowledge acquisition and machine learning system MOBAL 2.2 for non-commercial academic use in "/MachineLearning/ILP/public/software/Mobal"), and - PROLOG implementations of basic machine learning algorithms (e.g., COBWEB, ID3, ARCH) ("/MachineLearning/general/ML-Program-Library"). This library is maintained by Thomas Hoppe (for more details, see the README file in the subdirectory). Here's how the anonymous FTP server works. To access or store material on the server, use ftp to ftp.gmd.de, login ID "anonymous" and your full E-Mail address as password. Change to directory /MachineLearning, where the ML-related stuff is located. Remember, when ftping compressed or compacted files (.Z) to use binary mode for retrieving the files. The directory structure is subject to change. Please note: Wherever appropriate and possible, material has been cross-indexed between the different subdirectories using symbolic links. You are invited to contribute your own software, papers etc. to the ML-archive. If you have ML-related material, which might be relevant for other researchers or potential users of Machine Learning techniques, place it in one of the subdirectories of "/ftp/incoming/Learning" AND also send mail to "ml-archive@gmd.de" saying what you placed in "incoming". Our ml-archive manager Marcus Luebbe will read these mails and install all contributions in the proper place. As for papers, please send them in compressed PostScript (.ps.Z) form. Please send us also a file with a plain text bibliographic entry and, if possible, a corresponding BibTeX entry with names of all authors, title, how and where the paper has been published. As for software, please send both a compressed tarfile containing your software and manuals as well as a README file describing the software and its installation. Please let us know which name to use for the subdirectory that stores your software. Please, include the following statement in your mail: COPYRIGHT CLEARANCE: I understand that the material I have submitted will be made publicly available worldwide on an anoymous FTP Server. I have made sure that this does not conflict with any relevant copyrights on the material. Please send questions and suggestions to: ml-archive@gmd.de %------------------------------------------------------------------------------% %------------------------------------------------------------------------------% SIGART Bulletin Special Issue on Inductive Logic Programming (Volume 5, Number 1, January 1994, ACM Press) Table of contents: Muggleton S., "Inductive Logic Programming" Mooney R. and Zelle J., "Integrating ILP and EBL" Kietz J-U. and Dzeroski S., "Inductive Logic Programming and Learnability" Cameron-Jones M. and Quinlan R., "Efficient Top-down Induction of Logic Programs" Bratko I. and King R., "Applications of Inductive Logic Programming" %------------------------------------------------------------------------------% %------------------------------------------------------------------------------% ILP BOOKS Published: ---------- - Shapiro, E. (1983) Algorithmic program debugging. MIT Press. - Muggleton, S., editor. (1992) Inductive logic programming. Academic Press. - De Raedt, L. (1992) Interactive theory revision: an inductive logic programming approach. Academic Press. - Morik, K. et al. (1993) Knowledge acquisition and machine learning: theory, methods, and applications. Academic press. - Lavrac, N. and Dzeroski, S. (1994) Inductive logic programming: techniques and applications. Ellis Horwood. Unpublished: ------------ - Muggleton, S., editor. (1991) Proceedings of the International Workshop on Inductive Logic Programming (ILP91). Viana de Castelo, Portugal, March 1991. (307 pages). - Muggleton, S. and Furukawa, K., editors. (1992) Proceedings of the Second International Workshop on Inductive Logic Programming (ILP92). Tokyo, Japan, June 1992. Technical Report TM-1182, ICOT Research Center, Tokyo Japan. (283 pages). - Muggleton, S., editor. (1993) Proceedings of the Third International Workshop on Inductive Logic Programming (ILP93). Bled, Slovenia, April 1993. Technical Report IJS-DP-6707, Jozef Stefan Institute, Ljubljana, Slovenia. (292 pages). Forthcoming: ------------ - Bergadano, F. and Gunetti, D. (1995) Inductive Logic Programming: from Machine Learning to Software Engineering. MIT Press. - Muggleton, S. (1995) Foundations of Inductive Logic Programming. Prentice Hall. Related to ILP: --------------- - Bergadano, F. et al. (1991) Machine learning: an integrated framework and its applications. Ellis Horwood. - Flach, P. (1994) Simply logical: intelligent reasoning by example. John Wiley. Forthcoming. - Michalski, R. and Tecuci, G. (1994) Machine learning: A multistrategy approach, vol IV. Morgan Kaufmann. %------------------------------------------------------------------------------% %------------------------------------------------------------------------------% BOOK ANNOUNCEMENT "Knowledge Acquisition and Machine Learning - Theory, Methods and Applications" K. Morik, S. Wrobel, J.U.Kietz, and W. Emde Academic Press 1993 ISBN: 0-12-506230-3, 350 pages, 34.95 pounds The book shows how incorporating learning algorithms into a knowledge acquisition environment provides new work-share between system and user, assisting the user in both setting up a learning task using the knowledge acquisition environment and supporting knowledge acquisition and knowledge maintenance using learning algorithms. The book reports on BLIP and MOBAL, fully operational systems which integrate knowledge acquisition, maintenance and learning in a restricted predicate logic. The book is practically oriented. Theoretical results have been used and and tested in real-world applications of different complexity and size. %------------------------------------------------------------------------------% %------------------------------------------------------------------------------% BOOK ANNOUNCEMENT "INDUCTIVE LOGIC PROGRAMMING: Techniques and Applications" Nada Lavrac and Saso Dzeroski Ellis Horwood (Simon & Schuster), 1994 (Ellis Horwood Series in Artificial Intelligence) ISBN: 0-13-457870-8, 310 pages, 39.95 pounds (67.95 dollars) Keywords: artificial intelligence, applications, databases, deductive databases, induction, learning, logic, logic programming, machine learning, knowledge discovery in databases The book is an introduction to inductive logic programming (ILP), a research area at the intersection of inductive machine learning and logic programming. This field aims at a formal framework and practical algorithms for inductively learning relational descriptions in the form of logic programs. ILP is of interest to inductive machine learning researchers as it significantly extends the usual attribute-value respresentation and consequently enlarges the scope of machine learning applications; it is also of interest to logic programming researchers as it extends the basically deductive framework of logic programming with the use of induction. The book consists of four parts. Part I is an introduction to the field of ILP. Part II describes in detail several empirical ILP techniques and their implementations. Part III presents the techniques for handling imperfect data in ILP, whereas Part IV gives an overview of several ILP applications. The book serves two main purposes. On the one hand, it can be used as a course book on ILP since it provides an easy-to-read introduction to ILP (Chapters 1-3), an overview of empirical ILP systems (Chapter 4), discusses ILP as search of refinement graphs (Chapter 7), analyses the sources of imperfect/noisy data and the mechanisms for handling noise (Chapter 8) and gives an overview of several interesting applications of ILP (Chapter 14). On the other hand, the book is a guide/reference for an in-depth study of specific empirical ILP techniques, i.e., using attribute-value learners in an ILP framework and specialization techniques based on FOIL (Chapters 5-6,9-10) and their applications in medicine, mesh design and learning of qualitative models (Chapters 11-13). The book will be of interest to engineers, researchers and graduate students in the field of artificial intelligence and database methodology, in particular in machine learning, logic programming, software engineering, deductive databases, and knowledge discovery in databases. Basic knowledge of artificial intelligence and logic would be helpful, but is not a prerequisite. %------------------------------------------------------------------------------% %------------------------------------------------------------------------------% MLNET FAMILIARISATION WORKSHOP Declarative Bias Catania, Italy, april 9 1994 ********************************************************************** The workshop is to be organized after the European Conference on Machine Learning (ECML 94), april 6-8 1994, in the context of the second MLNet familiarization workshop Catania, Italy. ********************************************************************** Call for Contributions Control of the learning process has always been a fundamental issue in ML because it strongly affects the complexity of the learning process and the learning results. There has been lately a strong interest within the Machine Learning community concerning the elicitation of this control knowledge, referred to as Declarative Bias. It grows with the development of real world applications that require more adaptable learning tools and more complex representation languages. Representing control knowledge in a declarative way allows an expert in ML or the ML system itself to easily shift it. Past experiences with ML applications have demonstrated that cooperation with the user speeds up the learning process by providing explicit control information when available. Declarative bias is therefore a concise and powerful way for the user to explicitly program the ML system, instead of tuning low level knowledge such as examples and domain theory representation in order to improve learning results. Three types of biases may be characterised. The first class a priori restricts the initial set of candidate definitions for the target concept (search space), referred to as language biases, the second class sets heuristics to improve the search for the best definition(s) through the search space. The third class defines validation criteria for learning. It is obviously a difficult task for the user to find the appropriate combination of biases to meet her/his expectations. Shifting biases with respect to discrepancies observed between actual learning results and expected ones is a promising research issue. Validation of results and shift of bias may be incrementally performed, after each learning step by submitting intermediate results to the user or at the end of the learning process. This cyclic task will be as easy as the relationship between biases and her/his learning goals are stated clearly. Authors are encouraged to submit papers describing their favorite learning system(s) in terms of elementary learning steps and biases belonging to each of the three above classes. SUBMISSION REQUIREMENTS Authors should submit a paper or an extended abstract (not less than 2 pages) fully explaining the relevance of their work to the workshop. Persons wishing to participate but who do not wish to give a presentation should submit an abstract (1 page) describing their research and/or interest in the subject area and their expected contributions to the workshop. Papers / abstracts should be sent in five copies by March 1 to: Celine Rouveirol LRI Bat 490 Universite Paris-Sud F-91405 Orsay, France Tel : +33 (1) 69 41 64 62 Fax : +33 (1) 69 41 65 86 e-mail : celine@lri.fr Notification of acceptance will be e-mailed or faxed by March 15 (please specify your email or fax on the submitted paper). ORGANISATION All attendees will receive before the workshop a list of topics and open questions that have emerged from the accepted papers. To stimulate discussions, presentations are strongly encouraged to refer to these. The worshop will start with a panel presenting the key issues that will be discussed during the sessions. Schedule will leave time for open discussions and syntheses. PROGRAM COMMITTEE Rouveirol C. Univ. Paris-Sud, France Bergadano F. Univ. Catania, Italy Esposito F. Univ. Bari, Italy Lavrac N. JSI, Ljubljana, Slovenia Mozetic I. Techn. Univ. Vienna - ARIAI, Austria Nedellec C. Univ. Paris-Sud, France Plaza E. IIIA-CSIC, Spain Popelinsky L. Univ. Brno, Czech Republic Sleeman D. Univ. Aberdeen, U.K. Van de Merckt T. Free Univ. of Brussels, Belgium Van Someren M. Univ. Amsterdam, The Netherlands %------------------------------------------------------------------------------% %------------------------------------------------------------------------------% ECML MLNet Workshop on Theory revision and restructuring Catania, Italy, April 9 or 10, 1994 Call for Contributions With the growing complexity of applications being tackled by Machine Learning, it has become increasingly clear that besides approaches for the initial acquisition of knowledge bases we also need techniques for theory revision and restructuring, i.e., techniques that can use existing learned or human-supplied domain theories and can modify them to improve their correctness, completeness, efficiency or understandability. This ECML MLNet workshop intends to bring together the various approaches to revision and restructuring that have been developed under different perspectives within Machine Learning. Traditionally, revision has been a part of incremental or hill-climbing learning systems which keep only one current hypothesis and modify it whenever new examples arise. More recently, revision has been identified has an important part of approaches that learn multiple predicates simultaneously, and incorporated as a central component of integrated multi-strategy learning systems. Moreover, revision and restructuring are also important topics in several neighboring fields such as knowledge representation, logic programming or deductive databases. The workshop invites submissions on all topics related to theory revision and restructuring, including but not limited to: o multiple-predicate learning o selection of preferred revisions, bias, constraints o revision as a part of multi-strategy learners o relationships to neighboring fields (e.g. revision work in knowledge representation and deductive database communities) o scientific theory revision o debugging techniques for revision o theory restructuring o applications of these techniques Authors intending to present their work should submit a two-page abstract of their talk until March 1st, 1994, to: Stefan Wrobel GMD, I3.KI, Schloss Birlinghoven 53757 Sankt Augustin, Germany stefan.wrobel@gmd.de preferably by E-Mail in LaTeX. Authors will be notified of acceptance until March 14, 1993. A handout of accepted abstracts will be made available to participants. Organizing Committee: Hilde Ade, Carl-Gustav Jansson, Stefan Wrobel. %------------------------------------------------------------------------------% %------------------------------------------------------------------------------% The Fourth International Workshop on Inductive Logic Programming (ILP94) September 12 -- 14, 1994, Bad Honnef/Bonn, Germany Call for Papers (Short Version) General Information Originating from the intersection of Machine Learning and Logic Programming, Inductive Logic Programming (ILP) is an important and rapidly developing field that focuses on theory, methods, and applications of learning in relational, first-order logic representations. ILP94 is the fourth in a series of international workshops designed to bring together developers and users of ILP in a format that allows a detailed exchange of ideas and discussions. Reflecting the growing maturity of the field, ILP94 for the first time will offer a systems and application exhibit as an opportunity to demonstrate the practical results and capabilities of ILP. ILP94 will take place in Bad Honnef, a small resort town close to Bonn in the Rhine valley and adjacent to the Siebengebirge nature park. Participants will be able to take advantage of Bad Honnef's vicinity to medieval castles and of the new wine season that starts at the time of the workshop. Submission of papers Reflecting the broadening scope of the field, ILP94 invites papers covering the three main aspects of ILP, namely inductive data analysis and learning in first-order representations, inductive synthesis of non-trivial logic programs from examples, and inductive tools for software engineering. Please submit four paper copies of your paper to the workshop chair Stefan Wrobel GMD, I3.KI, Schloss Birlinghoven, 53757 Sankt Augustin, Germany. E-Mail: ilp-94@gmd.de, Fax:+49/2241/14-2889 Tel: +49/2241/14-2670 to be received on or before May 31, 1994. Length of papers should be reasonable and adequate for the topic, but no more than 20 pages. Please use LaTeX if at all possible. Authors will be notified of acceptance or rejection until July 15, 1994, and camery-ready copy will be due on August 9, 1994. Accepted papers will be published as a GMD technical report to be distributed at the workshop and officially available to others from GMD afterwards. Publication of an edited book is planned for after the workshop. Program Committee Francesco Bergadano (Italy) Ivan Bratko (Slovenia) Wray Buntine (USA) William W. Cohen (USA) Luc de Raedt (Belgium) Koichi Furukawa (Japan) Jorg-Uwe Kietz (Germany) Nada Lavravc (Slovenia) Stan Matwin (Canada) Stephen Muggleton (UK) Celine Rouveirol (France) Claude Sammut (Australia) Further Information A full call for papers can be obtained via anonymous FTP from the ML Archive at GMD (server ftp.gmd.de, file /MachineLearning/general/CallsForPapers/ilp94.ascii or .ps). To receive the complete registration brochure as soon as it is available, please send E-Mail to ilp-94@gmd.de, specifying your name and address, E-Mail, Fax, and (if you know) whether you intend to submit a paper. %------------------------------------------------------------------------------%