MICAI 2005 - Advances in Artificial Intelligence

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November 2005



The Mexican International Conference on Arti?cial Intelligence (MICAI) is aimedatpromotingresearchinarti?cialintelligence(AI)andcooperationamong Mexicanresearchersandtheirpeersworldwide. MICAIisorganizedbytheMe- canSocietyforArti?cialIntelligence (SMIA) incollaborationwiththe American Association for Arti?cial Intelligence (AAAI). After the success of the three previous biannual conferences, we are pleased to announce that MICAI conferences are now annual, and we present the p- ceedings of the 4th Mexican International Conference on Arti?cial Intelligence, MICAI 2005,held onNovember14-18,2005,inMonterrey,Mexico. This volume containsthe papersincludedinthemainconferenceprogram,whichwascomp- mentedby tutorials,workshops,andpostersessions,publishedinsupplementary proceedings. The proceedings of past MICAI conferences were also published in Springer'sLectureNotesinArti?cialIntelligence(LNAI)series,vols. 1793,2313, and 2972. Table1. Statistics of submissions and accepted papers by country/region 1 1 Authors Papers Authors Papers Country/Region Subm Accp Subm Accp Country/Region Subm Accp Subm Accp Algeria 2 - 0. 66 - Lithuania 3 1 1. 5 0. 50 Argentina 27 4 8. 66 1. 5 Malaysia 2 - 1 - Australia 7 - 2. 66 - Mexico 383 139 131. 91 47. 44 Brazil 48 14 15. 16 3. 66 Netherlands 3 2 1. 2 1 Bulgaria 1 1 0. 5 0. 5 New Zealand 4 4 1 1 Canada 13 4 4. 75 2 Norway 4 1 2. 33 1 Chile 14 10 6 4 Poland 8 2 3 1 China 288 65 107. 33 23. 66 Portugal 2 - 0. 5 - Colombia 1 - 1 - Romania 2 2 0. 5 0. 5 Cuba 6 - 1. 66 - Russia 10 3 7 1.


Knowledge Representation and Management.
Modelling Human Intelligence: A Learning Mechanism.
Compilation of Symbolic Knowledge and Integration with Numeric Knowledge Using Hybrid Systems.
The Topological Effect of Improving Knowledge Acquisition.
Belief Revision Revisited.
Knowledge and Reasoning Supported by Cognitive Maps.
Temporal Reasoning on Chronological Annotation.
EventNet: Inferring Temporal Relations Between Commonsense Events.
Multi Agent Ontology Mapping Framework in the AQUA Question Answering System.
A Three-Level Approach to Ontology Merging.
Domain and Competences Ontologies and Their Maintenance for an Intelligent Dissemination of Documents.
Modelling Power and Trust for Knowledge Distribution: An Argumentative Approach.
Application of ASP for Agent Modelling in CSCL Environments.
Logic and Constraint Programming.
Deductive Systems' Representation and an Incompleteness Result in the Situation Calculus.
Geometric Aspects Related to Solutions of #kSAT.
A Syntactical Approach to Belief Update.
A Fuzzy Extension of Description Logic .
An Approach for Dynamic Split Strategies in Constraint Solving.
Applying Constraint Logic Programming to Predicate Abstraction of RTL Verilog Descriptions.
Scheduling Transportation Events with Grouping Genetic Algorithms and the Heuristic DJD.
Radial Search: A Simple Solution Approach to Hard Combinatorial Problems.
Uncertainty Reasoning.
Rough Sets and Decision Rules in Fuzzy Set-Valued Information Systems.
Directed Cycles in Bayesian Belief Networks: Probabilistic Semantics and Consistency Checking Complexity.
Fuzzeval: A Fuzzy Controller-Based Approach in Adaptive Learning for Backgammon Game.
Analysis of Performance of Fuzzy Logic-Based Production Scheduling by Simulation.
Multiagent Systems and Distributed AI.
Agent-Based Simulation Replication: A Model Driven Architecture Approach.
Effects of Inter-agent Communication in Ant-Based Clustering Algorithms: A Case Study on Communication Policies in Swarm Systems.
Coordination Through Plan Repair.
Enabling Intelligent Organizations: An Electronic Institutions Approach for Controlling and Executing Problem Solving Methods.
An Extended Behavior Network for a Game Agent: An Investigation of Action Selection Quality and Agent Performance in Unreal Tournament.
Air Pollution Assessment Through a Multiagent-Based Traffic Simulation.
Computer Vision and Pattern Recognition.
A Noise-Driven Paradigm for Solving the Stereo Correspondence Problem.
Invariant Descriptions and Associative Processing Applied to Object Recognition Under Occlusions.
Real Time Facial Expression Recognition Using Local Binary Patterns and Linear Programming.
People Detection and Tracking Through Stereo Vision for Human-Robot Interaction.
Mapping Visual Behavior to Robotic Assembly Tasks.
Multilevel Seed Region Growth Segmentation.
A CLS Hierarchy for the Classification of Images.
Performance Evaluation of a Segmentation Algorithm for Synthetic Texture Images.
Image Retrieval Based on Salient Points from DCT Domain.
Machine Learning and Data Mining.
Selection of the Optimal Parameter Value for the ISOMAP Algorithm.
Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order.
A Neurobiologically Motivated Model for Self-organized Learning.
Using Boolean Differences for Discovering Ill-Defined Attributes in Propositional Machine Learning.
Simplify Decision Function of Reduced Support Vector Machines.
On-Line Learning of Decision Trees in Problems with Unknown Dynamics.
Improved Pairwise Coupling Support Vector Machines with Correcting Classifiers.
Least Squares Littlewood-Paley Wavelet Support Vector Machine.
Minimizing State Transition Model for Multiclassification by Mixed-Integer Programming.
Overview of Metaheuristics Methods in Compilation.
Comparison of SVM-Fuzzy Modelling Techniques for System Identification.
Time-Series Forecasting by Means of Linear and Nonlinear Models.
Perception Based Time Series Data Mining with MAP Transform.
A Graph Theoretic Approach to Key Equivalence.
Improvement of Data Visualization Based on ISOMAP.
Supporting Generalized Cases in Conversational CBR.
Organizing Large Case Library by Linear Programming.
Classifying Faces with Discriminant Isometric Feature Mapping.
A Grey-Markov Forecasting Model for the Electric Power Requirement in China.
A Fault Detection Approach Based on Machine Learning Models.
Evolutionary Computation and Genetic Algorithms.
A Mixed Mutation Strategy Evolutionary Programming Combined with Species Conservation Technique.
Coevolutionary Multi-objective Optimization Using Clustering Techniques.
A Comparison of Memetic Recombination Operators for the MinLA Problem.
Hybrid Particle Swarm - Evolutionary Algorithm for Search and Optimization.
Particle Swarm Optimization with Opposite Particles.
Particle Evolutionary Swarm Optimization with Linearly Decreasing ?-Tolerance.
Useful Infeasible Solutions in Engineering Optimization with Evolutionary Algorithms.
A Hybrid Self-adjusted Memetic Algorithm for Multi-objective Optimization.
Evolutionary Multiobjective Optimization Approach for Evolving Ensemble of Intelligent Paradigms for Stock Market Modeling.
Genetic Algorithms for Feature Weighting: Evolution vs. Coevolution and Darwin vs. Lamarck.
A Deterministic Alternative to Competent Genetic Algorithms That Solves to Optimality Linearly Decomposable Non-overlapping Problems in Polynomial Time.
Neural Networks.
K-Dynamical Self Organizing Maps.
Study of Application Model on BP Neural Network Optimized by Fuzzy Clustering.
Application of Modified Neural Network Weights' Matrices Explaining Determinants of Foreign Investment Patterns in the Emerging Markets.
Neural Network and Trend Prediction for Technological Processes Monitoring.
Natural Language Processing.
Underspecified Semantics for Dependency Grammars.
Distributed English Text Chunking Using Multi-agent Based Architecture.
A Similarity-Based Approach to Data Sparseness Problem of Chinese Language Modeling.
Self-training and Co-training Applied to Spanish Named Entity Recognition.
Towards the Automatic Learning of Idiomatic Prepositional Phrases.
Measurements of Lexico-Syntactic Cohesion by Means of Internet.
Inferring Rules for Finding Syllables in Spanish.
A Multilingual SVM-Based Question Classification System.
Language Independent Passage Retrieval for Question Answering.
A New PU Learning Algorithm for Text Classification.
A Domain Independent Natural Language Interface to Databases Capable of Processing Complex Queries.
Intelligent Interfaces and Speech Processing.
An Efficient Hybrid Approach for Online Recognition of Handwritten Symbols.
Environment Compensation Based on Maximum a Posteriori Estimation for Improved Speech Recognition.
ASR Based on the Analasys of the Short-MelFrequencyCepstra Time Transform.
Building and Training of a New Mexican Spanish Voice for Festival.
Bioinformatics and Medical Applications.
A New Approach to Sequence Representation of Proteins in Bioinformatics.
Computing Confidence Measures in Stochastic Logic Programs.
Using Inductive Rules in Medical Case-Based Reasoning System.
Prostate Segmentation Using Pixel Classification and Genetic Algorithms.
A Novel Approach for Adaptive Unsupervised Segmentation of MRI Brain Images.
Towards Formalising Agent Argumentation over the Viability of Human Organs for Transplantation.
A Comparative Study on Machine Learning Techniques for Prediction of Success of Dental Implants.
Infant Cry Classification to Identify Hypo Acoustics and Asphyxia Comparing an Evolutionary-Neural System with a Neural Network System.
Applying the GFM Prospective Paradigm to the Autonomous and Adaptative Control of a Virtual Robot.
Maximizing Future Options: An On-Line Real-Time Planning Method.
On the Use of Randomized Low-Discrepancy Sequences in Sampling-Based Motion Planning.
A Framework for Reactive Motion and Sensing Planning: A Critical Events-Based Approach.
Visual Planning for Autonomous Mobile Robot Navigation.
Gait Synthesis Based on FWN and PD Controller for a Five-Link Biped Robot.
Hybrid Fuzzy/Expert System to Control Grasping with Deformation Detection.
Adaptive Neuro-Fuzzy-Expert Controller of a Robotic Gripper.
A Semantically-Based Software Component Selection Mechanism for Intelligent Service Robots.
An Approach for Intelligent Fixtureless Assembly: Issues and Experiments.
On the Design of a Multimodal Cognitive Architecture for Perceptual Learning in Industrial Robots.
Modeling and Intelligent Control.
CORBA Distributed Robotic System: A Case Study Using a Motoman 6-DOF Arm Manipulator.
An Integration of FDI and DX Techniques for Determining the Minimal Diagnosis in an Automatic Way.
Evolutionary Dynamic Optimization of a Continuously Variable Transmission for Mechanical Efficiency Maximization.
Performance Improvement of Ad-Hoc Networks by Using a Behavior-Based Architecture.
Analysis of the Performance of Different Fuzzy System Controllers.
Discrete-Time Quasi-Sliding Mode Feedback-Error-Learning Neurocontrol of a Class of Uncertain Systems.
Stable Task Space Neuro Controller for Robot Manipulators Without Velocity Measurements.
Input-Output Data Modelling Using Fully Tuned RBF Networks for a Four Degree-of-Freedom Tilt Rotor Aircraft Platform.
A Frugal Fuzzy Logic Based Approach for Autonomous Flight Control of Unmanned Aerial Vehicles.
Sensor-Fusion System for Monitoring a CNC-Milling Center.
Intelligent Tutoring Systems.
A Probabilistic Model of Affective Behavior for Intelligent Tutoring Systems.
A Semi-open Learning Environment for Virtual Laboratories.


EAN: 9783540298960
ISBN: 3540298967
Untertitel: 4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005, Proceedings. 'Lecture Notes in Computer Science'. 2005. Auflage. Bibliographie. Book. Sprache: Englisch.
Verlag: Springer-Verlag GmbH
Erscheinungsdatum: November 2005
Seitenanzahl: 1224 Seiten
Format: Sonstige Medienformate
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