Innovations in Applied Artificial Intelligence

"Intelligent systems are those which produce intelligent o?springs." AI researchers have been focusing on developing and employing strong methods that are capable of solving complex real-life problems. The 18th International Conference on Industrial & Engineering Applications of Arti?cial Intelligence & Expert Systems (IEA/AIE 2005) held in Bari, Italy presented such work performed by many scientists worldwide. The Program Committee selected long papers from contributions presenting more complete work and posters from those reporting ongoing research. The Committee enforced the rule that only original and unpublished work could be considered for inclusion in these proceedings. The Program Committee selected 116 contributions from the 271 subm- ted papers which cover the following topics: arti?cial systems, search engines, intelligent interfaces, knowledge discovery, knowledge-based technologies, na- ral language processing, machine learning applications, reasoning technologies, uncertainty management, applied data mining, and technologies for knowledge management. The contributions oriented to the technological aspects of AI and the quality of the papers are witness to a research activity clearly aimed at consolidating the theoretical results that have already been achieved. The c- ference program also included two invited lectures, by Katharina Morik and Roberto Pieraccini. Manypeoplecontributedindi?erentwaystothesuccessoftheconferenceand to this volume. The authors who continue to show their enthusiastic interest in applied intelligence research are a very important part of our success. We highly appreciate the contribution of the members of the Program Committee, as well as others who reviewed all the submitted papers with e?ciency and dedication.

Contenu

Invited Contributions.- Applications of Knowledge Discovery.- Spoken Language Communication with Machines: The Long and Winding Road from Research to Business.- Computer Vision.- Motion-Based Stereovision Method with Potential Utility in Robot Navigation.- Object Tracking Using Mean Shift and Active Contours.- Place Recognition System from Long-Term Observations.- Real-Time People Localization and Tracking Through Fixed Stereo Vision.- Face Recognition by Kernel Independent Component Analysis.- Head Detection of the Car Occupant Based on Contour Models and Support Vector Machines.- A Morphological Proposal for Vision-Based Path Planning.- A New Video Surveillance System Employing Occluded Face Detection.- Image Analysis.- Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases.- Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching.- Robust Character Segmentation System for Korean Printed Postal Images.- Speech Recognition.- Case Based Reasoning Using Speech Data for Clinical Assessment.- Feature-Table-Based Automatic Question Generation for Tree-Based State Tying: A Practical Implementation.- Speeding Up Dynamic Search Methods in Speech Recognition.- Robotics.- Conscious Robot That Distinguishes Between Self and Others and Implements Imitation Behavior.- Distance-Based Dynamic Interaction of Humanoid Robot with Multiple People.- Movement Prediction from Real-World Images Using a Liquid State Machine.- Robot Competition Using Gesture Based Interface.- Agents.- Agent Support for a Grid-Based High Energy Physics Application.- Feasibility of Multi-agent Simulation for the Trust and Tracing Game.- Multi-agent Support for Distributed Engineering Design.- Reliable Multi-agent Systems with Persistent Publish/Subscribe Messaging.- A Strategy-Proof Mechanism Based on Multiple Auction Support Agents.- Automated Teleoperation of Web-Based Devices Using Semantic Web Services.- Context Awarable Self-configuration System for Distributed Resource Management.- A Decision Support System for Inventory Control Using Planning and Distributed Agents.- Planning.- Controlling Complex Physical Systems Through Planning and Scheduling Integration.- Plan Execution in Dynamic Environments.- Structural Advantages for Ant Colony Optimisation Inherent in Permutation Scheduling Problems.- Incrementally Scheduling with Qualitative Temporal Information.- New Upper Bounds for the Permutation Flowshop Scheduling Problem.- R-Tree Representations of Disaster Areas Based on Probabilistic Estimation.- Human-Computer Interaction and Natural Language Processing.- AI/NLP Technologies Applied to Spacecraft Mission Design.- Automatic Word Spacing in Korean for Small Memory Devices.- Generating Personalized Tourist Map Descriptions.- Haptic Fruition of 3D Virtual Scene by Blind People.- Ontology-Based Natural Language Parser for E-Marketplaces.- Towards Effective Adaptive Information Filtering Using Natural Language Dialogs and Search-Driven Agents.- Towards Minimization of Test Sets for Human-Computer Systems.- Discovering Learning Paths on a Domain Ontology Using Natural Language Interaction.- A Geometric Approach to Automatic Description of Iconic Scenes.- Man-Machine Interface of a Support System for Analyzing Open-Ended Questionnaires.- Reasoning.- A Holistic Approach to Test-Driven Model Checking.- Inferring Definite-Clause Grammars to Express Multivariate Time Series.- Obtaining a Bayesian Map for Data Fusion and Failure Detection Under Uncertainty.- Event Handling Mechanism for Retrieving Spatio-temporal Changes at Various Detailed Level.- Fault Localization Based on Abstract Dependencies.- Freeway Traffic Qualitative Simulation.- LEADSTO: A Language and Environment for Analysis of Dynamics by SimulaTiOn.- Prediction-Based Diagnosis and Loss Prevention Using Model-Based Reasoning.- Machine Learning.- An Algorithm Based on Counterfactuals for Concept Learning in the Semantic Web.- Classification of Ophthalmologic Images Using an Ensemble of Classifiers.- Comparison of Extreme Learning Machine with Support Vector Machine for Text Classification.- Endoscopy Images Classification with Kernel Based Learning Algorithms.- Local Bagging of Decision Stumps.- Methods for Classifying Spot Welding Processes: A Comparative Study of Performance.- Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation.- One-Class Classifier for HFGWR Ship Detection Using Similarity-Dissimilarity Representation.- Improving the Readability of Decision Trees Using Reduced Complexity Feature Extraction.- Intelligent Bayesian Classifiers in Network Intrusion Detection.- Data Mining.- Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization.- Data Mining for Decision Support: An Application in Public Health Care.- A Domain-Independent Approach to Discourse-Level Knowledge Discovery from Texts.- An Efficient Subsequence Matching Method Based on Index Interpolation.- A Meteorological Conceptual Modeling Approach Based on Spatial Data Mining and Knowledge Discovery.- Mining Generalized Association Rules on Biomedical Literature.- Mining Information Extraction Rules from Datasheets Without Linguistic Parsing.- An Ontology-Supported Data Preprocessing Technique for Real-Life Databases.- Genetic Algorithms.- A Fuzzy Genetic Algorithm for Real-World Job Shop Scheduling.- Pareto-Optimal Hardware for Digital Circuits Using SPEA.- Application of a Genetic Algorithm to Nearest Neighbour Classification.- Applying Genetic Algorithms for Production Scheduling and Resource Allocation. Special Case: A Small Size Manufacturing Company.- An Efficient Genetic Algorithm for TSK-Type Neural Fuzzy Identifier Design.- Hardware Architecture for Genetic Algorithms.- Node-Depth Encoding for Evolutionary Algorithms Applied to Multi-vehicle Routing Problem.- Novel Approach to Optimize Quantitative Association Rules by Employing Multi-objective Genetic Algorithm.- Neural Networks.- GMDH-Type Neural Network Modeling in Evolutionary Optimization.- Predicting Construction Litigation Outcome Using Particle Swarm Optimization.- Self-organizing Radial Basis Function Network Modeling for …