AI*IA 2001: Advances in Artificial Intelligence

Machine Learning.- A Monte Carlo Approach to Hard Relational Learning Problems.- Boosting as a Monte Carlo Algorithm.- Stepwise Induction of Model Trees.- Evaluation Methods for Focused Crawling.- A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data.- RBF Networks Exploiting Supervised Data in the Adaptation of Hidden Neuron Parameters.- A New Machine Learning Approach to Fingerprint Classification.- An Automatic Accompanist Based on Hidden Markov Models.- Resampling vs Reweighting in Boosting a Relational Weak Learner.- Learning Logic Models for Automated Text Categorization.- User Profiling in an Application of Electronic Commerce.- Automated Reasoning.- Computing Spatial Similarity by Games.- An Analysis of Backjumping and Trivial Truth in Quantified Boolean Formulas Satisfiability.- Abduction with Penalization in Logic Programming.- Causal Simulation and Diagnosis of Dynamic Systems.- Critical Parallelization of Local Search for MAX-SAT.- Product Design as Product Revise: The Case of Chemical Compounds.- Knowledge Representation.- Belief Revision and the Ramsey Test: A Solution.- Supporting Product Configuration in a Virtual Store.- Characterising Concept's Properties in Ontologies.- Multi-agent Systems.- Reasoning about Dynamic Scenes Using Autonomous Agents.- Tuning the Collaboration Level with Autonomous Agents: A Principled Theory.- The Definition of Legal Relations in a BDI Multiagent Framework.- Reasoning about Actions in a Multiagent Domain.- L*MASS: A Language for Situated Multi-agent Systems.- An Interactive System for Generating Arguments in Deceptive Communication.- An Agent Based Approach to Virtual Market Place Simulation.- Natural Language Processing.- Open Domain Question/Answering on the WEB.- User-Adapted Image Descriptions from Annotated Knowledge Sources.- Wide Coverage Incremental Parsing by Learning Attachment Preferences.- Flexible Parsing Architectures for NLP Applications.- Information Presentation