Advances in Artificial Intelligence

Agents.- Dynamic Maps in Monte Carlo Localization.- Handling Over-Constrained Problems in Distributed Multi-agent Systems.- Performance Evaluation of an Agent Based Distributed Data Mining System.- Adjusting the Autonomy of Collections of Agents in Multiagent Systems.- ARES 2: A Tool for Evaluating Cooperative and Competitive Multi-agent Systems.- Multiagent Systems Viewed as Distributed Scheduling Systems: Methodology and Experiments.- Planning for a Mobile Robot to Attend a Conference.- Constraint Satisfaction and Search.- A Decision Theoretic Meta-reasoner for Constraint Optimization.- Heuristic Search Applied to Abstract Combat Games.- Modelling an Academic Curriculum Plan as a Mixed-Initiative Constraint Satisfaction Problem.- SWAMI: Searching the Web Using Agents with Mobility and Intelligence.- Queuing Local Solutions in Distributed Constraint Satisfaction Systems.- Data Mining.- A Bayesian Model to Smooth Telepointer Jitter.- A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets.- A Markov Model for Inventory Level Optimization in Supply-Chain Management.- Analysis and Classification of Strategies in Electronic Negotiations.- Fast Protein Superfamily Classification Using Principal Component Null Space Analysis.- First Steps Towards Incremental Diagnosis of Discrete-Event Systems.- Integrating Web Content Clustering into Web Log Association Rule Mining.- Privacy Compliance Enforcement in Email.- Towards an Ontology-Based Spatial Clustering Framework.- Moving Target Prediction Using Evolutionary Algorithms.- Multi Class Adult Image Classification Using Neural Networks.- Probability and Equality: A Probabilistic Model of Identity Uncertainty.- Knowledge Representation and Reasoning.- A Logic of Inductive Implication or Artificial Intelligence Meets Philosophy of Science II.- Knowledge Distribution in Large Organizations Using Defeasible Logic Programming.- On the Role of the Markov Condition in Causal Reasoning.- Machine Learning.- The Impact of Feature Extraction on the Performance of a Classifier: kNN, Naive Bayes and C4.5.- Instance Cloning Local Naive Bayes.- Comparing Dimension Reduction Techniques for Document Clustering.- Incorporating Evidence in Bayesian Networks with the Select Operator.- Quick Spatial Outliers Detecting with Random Sampling.- Natural Language.- A Document Browsing Tool: Using Lexical Classes to Convey Information.- A Supervised Learning Approach to Acronym Identification.- Adjectives: A Uniform Semantic Approach.- Automatic Acquisition of Gender Information for Anaphora Resolution.- Automatic Identification of Parallel Documents With Light or Without Linguistic Resources.- Inductive Improvement of Part-of-Speech Tagging and Its Effect on a Terminology of Molecular Biology.- Vocabulary Completion Through Word Cooccurrence Analysis Using Unlabeled Documents for Text Categorization.- Voting Between Multiple Data Representations for Text Chunking.- A Novel Use of VXML to Construct a Speech Browser for a Public-Domain SpeechWeb.- Arabic Speech Synthesis Using a Concatenation of Polyphones: The Results.- English to Chinese Translation of Prepositions.- Generating Adaptive Multimedia Presentations Based on a Semiotic Framework.- Producing Headline Summaries for Newspaper Articles.- Regularized Classifiers for Information Retrieval.- Rethinking Language Models Within the Framework of Dynamic Bayesian Networks.- Reinforcement Learning.- Error Bounds in Reinforcement Learning Policy Evaluation.- Real-Time Decision Making for Large POMDPs.