Artificial Intelligence: Theories, Models and Applications [recurso electrónico] : 6th Hellenic Conference on AI, SETN 2010, Athens, Greece, May 4-7, 2010. Proceedings / edited by Stasinos Konstantopoulos, Stavros Perantonis, Vangelis Karkaletsis, Constantine D. Spyropoulos, George Vouros.

Invited Talks -- Digital Curation and Digital Cultural Memory -- RoboCup: A Challenge Problem for Artificial Intelligence -- Robots, Natural Language, Social Networks, and Art -- Artificial Life Simulation of Humans and Lower Animals: From Biomechanics to Intelligence -- Full Papers -- Prediction of Aircraft Aluminum Alloys Tensile Mechanical Properties Degradation Using Support Vector Machines -- Mutual Information Measures for Subclass Error-Correcting Output Codes Classification -- Conflict Directed Variable Selection Strategies for Constraint Satisfaction Problems -- A Feasibility Study on Low Level Techniques for Improving Parsing Accuracy for Spanish Using Maltparser -- A Hybrid Ant Colony Optimization Algorithm for Solving the Ring Arc-Loading Problem -- Trends and Issues in Description Logics Frameworks for Image Interpretation -- Unsupervised Recognition of ADLs -- Audio Features Selection for Automatic Height Estimation from Speech -- Audio-Visual Fusion for Detecting Violent Scenes in Videos -- Experimental Study on a Hybrid Nature-Inspired Algorithm for Financial Portfolio Optimization -- Associations between Constructive Models for Set Contraction -- Semantic Awareness in Automated Web Service Composition through Planning -- Unsupervised Web Name Disambiguation Using Semantic Similarity and Single-Pass Clustering -- Time Does Not Always Buy Quality in Co-evolutionary Learning -- Visual Tracking by Adaptive Kalman Filtering and Mean Shift -- On the Approximation Capabilities of Hard Limiter Feedforward Neural Networks -- EMERALD: A Multi-Agent System for Knowledge-Based Reasoning Interoperability in the Semantic Web -- An Extension of the Aspect PLSA Model to Active and Semi-Supervised Learning for Text Classification -- A Market-Affected Sealed-Bid Auction Protocol -- A Sparse Spatial Linear Regression Model for fMRI Data Analysis -- A Reasoning Framework for Ambient Intelligence -- The Large Scale Artificial Intelligence Applications – An Analysis of AI-Supported Estimation of OS Software Projects -- Towards the Discovery of Reliable Biomarkers from Gene-Expression Profiles: An Iterative Constraint Satisfaction Learning Approach -- Skin Lesions Characterisation Utilising Clustering Algorithms -- Mining for Mutually Exclusive Gene Expressions -- Task-Based Dependency Management for the Preservation of Digital Objects Using Rules -- Designing Trading Agents for Real-World Auctions -- Scalable Semantic Annotation of Text Using Lexical and Web Resources -- Short Papers -- A Gene Expression Programming Environment for Fatigue Modeling of Composite Materials -- A Hybrid DE Algorithm with a Multiple Strategy for Solving the Terminal Assignment Problem -- Event Detection and Classification in Video Surveillance Sequences -- The Support of e-Learning Platform Management by the Extraction of Activity Features and Clustering Based Observation of Users -- Mapping Cultural Metadata Schemas to CIDOC Conceptual Reference Model -- Genetic Algorithm Solution to Optimal Sizing Problem of Small Autonomous Hybrid Power Systems -- A WSDL Structure Based Approach for Semantic Categorization of Web Service Elements -- Heuristic Rule Induction for Decision Making in Near-Deterministic Domains -- Behavior Recognition from Multiple Views Using Fused Hidden Markov Models -- A Machine Learning-Based Evaluation Method for Machine Translation -- Feature Selection for Improved Phone Duration Modeling of Greek Emotional Speech -- A Stochastic Greek-to-Greeklish Transcriber Modeled by Real User Data -- Face Detection Using Particle Swarm Optimization and Support Vector Machines -- Reducing Impact of Conflicting Data in DDFS by Using Second Order Knowledge -- Towards Intelligent Management of a Student’s Time -- Virtual Simulation of Cultural Heritage Works Using Haptic Interaction -- Ethnicity as a Factor for the Estimation of the Risk for Preeclampsia: A Neural Network Approach -- A Multi-class Method for Detecting Audio Events in News Broadcasts -- Flexible Management of Large-Scale Integer Domains in CSPs -- A Collaborative System for Sentiment Analysis -- Minimax Search and Reinforcement Learning for Adversarial Tetris -- A Multi-agent Simulation Framework for Emergency Evacuations Incorporating Personality and Emotions.

Arti?cial intelligence (AI) is a dynamic ?eld that is constantly expanding into new application areas, discovering new research challenges, and facilitating the development of innovative products. Today’s AI tools might not pass the Turing test, but they are invaluable aids in organizing and sorting the ever-increasing volume,complexity,andheterogeneityofknowledgeavailabletousinourrapidly changing technological, economic, cultural, and social environment. This volumeaimsatbringing to the readerallthe latest developmentsin this exciting and challenging ?eld, and contains papers selected for presentation at the 6th Hellenic Conference on Arti?cial Intelligence (SETN 2010), the o?cial meeting of the Hellenic Society for Arti?cial Intelligence (EETN). SETN 2010 was organized by the Hellenic Society of Arti?cial Intelligence and the Institute of Informatics and Telecommunications, NCSR ‘Demokritos’ and took place in Athens during May 4–7.Previousconferences were held at the University of Piraeus (1996), at the Aristotle University of Thessaloniki (2002), attheUniversityoftheAegean(Samos,2004,andSyros,2008),andjointlyatthe Foundation for Research and Technology–Hellas (FORTH) and the University of Crete (2006). SETN conferences play an important role in disseminating innovative and high-qualityscienti?c results by AI researchers,attractingnot only EETNm- bers but also scientists advancing and applying AI in many and diverse domains and from various Greek and international institutes. However, the most imp- tant aspect of SETN conferences is that they provide the context in which AI researchers meet and discuss their work, as well as an excellect opportunity for students to attend high-quality tutorials and get closer to AI results.

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