Invited Talks -- Planning with Stochastic Petri-Nets and Neural Nets -- Data Mining Using Fractals and Power Laws -- Full Papers -- Voice Activity Detection Using Generalized Gamma Distribution -- A Framework for Uniform Development of Intelligent Virtual Agents -- A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences -- An Efficient Hardware Implementation for AI Applications -- Handling Knowledge-Based Decision Making Issues in Collaborative Settings: An Integrated Approach -- Market Clearing Price Forecasting in Deregulated Electricity Markets Using Adaptively Trained Neural Networks -- Adaptive-Partitioning-Based Stochastic Optimization Algorithm and Its Application to Fuzzy Control Design -- Fuzzy Granulation-Based Cascade Fuzzy Neural Networks Optimized by GA-RSL -- Using Self-similarity Matrices for Structure Mining on News Video -- Spam Detection Using Character N-Grams -- Improved Wind Power Forecasting Using a Combined Neuro-fuzzy and Artificial Neural Network Model -- A Long-Term Profit Seeking Strategy for Continuous Double Auctions in a Trading Agent Competition -- A Robust Agent Design for Dynamic SCM Environments -- A Novel Updating Scheme for Probabilistic Latent Semantic Indexing -- Local Additive Regression of Decision Stumps -- Mining Time Series with Mine Time -- Behaviour Flexibility in Dynamic and Unpredictable Environments: The ICagent Approach -- Investigation of Decision Trees (DTs) Parameters for Power System Voltage Stability Enhancement -- An Improved Hybrid Genetic Clustering Algorithm -- A Greek Named-Entity Recognizer That Uses Support Vector Machines and Active Learning -- Intelligent Segmentation and Classification of Pigmented Skin Lesions in Dermatological Images -- Modelling Robotic Cognitive Mechanisms by Hierarchical Cooperative CoEvolution -- Bayesian Feature Construction -- Musical Instrument Recognition and Classification Using Time Encoded Signal Processing and Fast Artificial Neural Networks -- O-DEVICE: An Object-Oriented Knowledge Base System for OWL Ontologies -- Abduction for Extending Incomplete Information Sources -- Post Supervised Based Learning of Feature Weight Values -- Recognition of Greek Phonemes Using Support Vector Machines -- Ensemble Pruning Using Reinforcement Learning -- Mining Bilingual Lexical Equivalences Out of Parallel Corpora -- Feed-Forward Neural Networks Using Hermite Polynomial Activation Functions -- A Distributed Branch-and-Bound Algorithm for Computing Optimal Coalition Structures -- Pattern Matching-Based System for Machine Translation (MT) -- Bayesian Metanetwork for Context-Sensitive Feature Relevance -- Prediction of Translation Initiation Sites Using Classifier Selection -- Improving Neural Network Based Option Price Forecasting -- Large Scale Multikernel RVM for Object Detection -- Extraction of Salient Contours in Color Images -- Dynamic Security Assessment and Load Shedding Schemes Using Self Organized Maps and Decision Trees -- Towards Automatic Synthesis of Educational Resources Through Automated Planning -- Towards Capturing and Enhancing Entertainment in Computer Games -- Employing Fujisaki's Intonation Model Parameters for Emotion Recognition -- Detection of Vocal Fold Paralysis and Edema Using Linear Discriminant Classifiers -- Short Papers -- An Artificial Neural Network for the Selection of Winding Material in Power Transformers -- Biomedical Literature Mining for Text Classification and Construction of Gene Networks -- Towards Representational Autonomy of Agents in Artificial Environments -- Combining Credibility in a Source Sensitive Argumentation System -- AnEnvironment for Constructing and Exploring Visual Models of Logic Propositions by Young Students -- Bridging Ontology Evolution and Belief Change -- A Holistic Methodology for Keyword Search in Historical Typewritten Documents -- Color Features for Image Fingerprinting -- Neural Recognition and Genetic Features Selection for Robust Detection of E-Mail Spam -- Violence Content Classification Using Audio Features -- An Analysis of Linear Weight Updating Algorithms for Text Classification -- On Small Data Sets Revealing Big Differences -- A Significance-Based Graph Model for Clustering Web Documents -- Supporting Clinico-Genomic Knowledge Discovery: A Multi-strategy Data Mining Process -- SHARE-ODS: An Ontology Data Service for Search and Rescue Operations -- Graphical Representation of Defeasible Logic Rules Using Digraphs -- An Efficient Peer to Peer Image Retrieval Technique Using Content Addressable Networks -- Predicting Fraudulent Financial Statements with Machine Learning Techniques -- Discrimination of Benign from Malignant Breast Lesions Using Statistical Classifiers -- Comparison of Data Fusion Techniques for Robot Navigation -- On Improving Mobile Robot Motion Control -- Consistency of the Matching Predicate -- Intrusion Detection Using Emergent Self-organizing Maps -- Mapping Fundamental Business Process Modelling Language to OWL-S -- Modeling Perceived Value of Color in Web Sites -- Introducing Interval Analysis in Fuzzy Cognitive Map Framework -- Discovering Ontologies for e-Learning Platforms -- Exploiting Group Thinking in Organization-Oriented Programming -- Multimodal Continuous Recognition System for Greek Sign Language Using Various Grammars -- An Alternative Suggestion for Vision-Language Integration in Intelligent Agents -- Specification of Reconfigurable MAS: A Hybrid FormalApproach -- An Intelligent Statistical Arbitrage Trading System -- Revising Faceted Taxonomies and CTCA Expressions -- Neighboring Feature Clustering.