Advances in Artificial Intelligence -- IBERAMIA 2004 | 9th Ibero-American Conference on AI, Puebla, Mexico, November 22-26, 2004, Proceedings | ISBN 9783540238065

Advances in Artificial Intelligence -- IBERAMIA 2004

9th Ibero-American Conference on AI, Puebla, Mexico, November 22-26, 2004, Proceedings

herausgegeben von Christian Lemaitre, Carlos A. Reyes und Jesus A. Gonzalez
Mitwirkende
Herausgegeben vonChristian Lemaitre
Herausgegeben vonCarlos A. Reyes
Herausgegeben vonJesus A. Gonzalez
Buchcover Advances in Artificial Intelligence -- IBERAMIA 2004  | EAN 9783540238065 | ISBN 3-540-23806-9 | ISBN 978-3-540-23806-5

Advances in Artificial Intelligence -- IBERAMIA 2004

9th Ibero-American Conference on AI, Puebla, Mexico, November 22-26, 2004, Proceedings

herausgegeben von Christian Lemaitre, Carlos A. Reyes und Jesus A. Gonzalez
Mitwirkende
Herausgegeben vonChristian Lemaitre
Herausgegeben vonCarlos A. Reyes
Herausgegeben vonJesus A. Gonzalez

Inhaltsverzeichnis

  • IBERAMIA 2004.
  • Checking Social Properties of Multi-agent Systems with Activity Theory.
  • MARCS Multi-agent Railway Control System.
  • Dynamic Quality Control Based on Fuzzy Agents for Multipoint Videoconferencing.
  • A Component and Aspect-Based Architecture for Rapid Software Agent Development.
  • Formalization of Cooperation in MAS: Towards a Generic Conceptual Model.
  • Web-Enabling MultiAgent Systems.
  • Gaining Competitive Advantage Through Learning Agent Models.
  • Towards an Efficient Rule-Based Coordination of Web Services.
  • Applying Rough Sets Reduction Techniques to the Construction of a Fuzzy Rule Base for Case Based Reasoning.
  • Dynamic Case Base Maintenance for a Case-Based Reasoning System.
  • A Case Base Seeding for Case-Based Planning Systems.
  • Handling Numeric Criteria in Relaxed Planning Graphs.
  • Constrainedness and Redundancy by Constraint Ordering.
  • To Block or Not to Block?.
  • Adaptive Penalty Weights When Solving Congress Timetabling.
  • Decomposition Approaches for a Capacitated Hub Problem.
  • An Efficient Method to Schedule New Trains on a Heavily Loaded Railway Network.
  • Studs, Seeds and Immigrants in Evolutionary Algorithms for Unrestricted Parallel Machine Scheduling.
  • An Investigation on Genetic Algorithms for Generic STRIPS Planning.
  • Improving Numerical Reasoning Capabilities of Inductive Logic Programming Systems.
  • Enhanced ICA Mixture Model for Unsupervised Classification.
  • Analysis of Galactic Spectra Using Active Instance-Based Learning and Domain Knowledge.
  • Adapting Evolutionary Parameters by Dynamic Filtering for Operators Inheritance Strategy.
  • Collaborative Filtering Based on Modal Symbolic User Profiles: Knowing You in the First Meeting.
  • Machine Learning by Multi-feature Extraction Using Genetic Algorithms.
  • Assignment of Semantic Roles Based on Word Sense Disambiguation.
  • Multi-session Management in Spoken Dialogue System.
  • Semantically-Driven Explanatory Text Mining: Beyond Keywords.
  • An Electronic Assistant for Poetry Writing.
  • Improving the Performance of a Named Entity Extractor by Applying a Stacking Scheme.
  • Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection.
  • Coordination Revisited – A Constraint Handling Rule Approach.
  • Question Answering for Spanish Based on Lexical and Context Annotation.
  • A Max-SAT Solver with Lazy Data Structures.
  • Three Valued Logic of ? ukasiewicz for Modeling Semantics of Logic Programs.
  • Answer Set Programming and S4.
  • A Rippling-Based Difference Reduction Technique to Automatically Prove Security Protocol Goals.
  • On Some Differences Between Semantics of Logic Program Updates.
  • Towards CNC Programming Using Haskell.
  • Well Founded Semantics for Logic Program Updates.
  • A First Order Temporal Logic for Behavior Representation.
  • Improved Tupling for Optimizing Multi-paradigm Declarative Programs.
  • Polynomial Classes of Boolean Formulas for Computing the Degree of Belief.
  • Combining Quality Measures to Identify Interesting Association Rules.
  • Two Partitional Methods for Interval-Valued Data Using Mahalanobis Distances.
  • A Classifier for Quantitative Feature Values Based on a Region Oriented Symbolic Approach.
  • The Protein Folding Problem Solved by a Fuzzy Inference System Extracted from an Artificial Neural Network.
  • A Multi-robot Strategy for Rapidly Searching a Polygonal Environment.
  • Internet-Based Teleoperation Control with Real-Time Haptic and Visual Feedback.
  • Representation Development and Behavior Modifiers.
  • New Technique to Improve Probabilistic Roadmap Methods.
  • A New Neural Architecture Based on ART and AVITE Models for AnticipatorySensory-Motor Coordination in Robotics.
  • Development of Local Perception-Based Behaviors for a Robotic Soccer Player.
  • Statistical Inference in Mapping and Localization for Mobile Robots.
  • Fusing a Laser Range Finder and a Stereo Vision System to Detect Obstacles in 3D.
  • Adaptive Automata for Mapping Unknown Environments by Mobile Robots.
  • Digital Image Processing of Functional Magnetic Resonance Images to Identify Stereo-Sensitive Cortical Regions Using Dynamic Global Stimuli.
  • An Image Analysis System to Compute the Predominant Direction of Motion in a Foucault Pendulum.
  • A Perceptual User Interface Using Mean Shift.
  • Projected Fringe Technique in 3D Surface Acquisition.
  • Optimized Object Recognition Based on Neural Networks Via Non-uniform Sampling of Appearance-Based Models.
  • A Statistical Validation of Vessel Segmentation in Medical Images.
  • Structural Recognition with Kernelized Softassign.
  • Kernel Based Method for Segmentation and Modeling of Magnetic Resonance Images.
  • Real-Valued Pattern Recall by Associative Memory.
  • Binary Associative Memories Applied to Gray Level Pattern Recalling.
  • Selection of an Automated Morphological Gradient Threshold for Image Segmentation. Application to Vision-Based Path Planning.
  • Color Image Classification Through Fitting of Implicit Surfaces.
  • Transforming Fundamental Set of Patterns to a Canonical Form to Improve Pattern Recall.
  • Nonlinear System Identification Using ANFIS Based on Emotional Learning.
  • Improving k-NN by Using Fuzzy Similarity Functions.
  • Decomposing Ordinal Sums in Neural Multi-adjoint Logic Programs.
  • Comparing Metrics in Fuzzy Clustering for Symbolic Data on SODAS Format.
  • Estimating User Location in a WLAN Using Backpropagation Neural Networks.
  • On the Optimal Computation of Finite Field Exponentiation.
  • Particle Swarm Optimization in Non-stationary Environments.
  • An Efficient Learning Algorithm for Feedforward Neural Network.
  • Combining Data Reduction and Parameter Selection for Improving RBF-DDA Performance.
  • Bidirectional Neural Network for Clustering Problems.
  • Reducing the Complexity of Kernel Machines with Neural Growing Gas in Feature Space.
  • Multirecombined Evolutionary Algorithm Inspired in the Selfish Gene Theory to Face the Weighted Tardiness Scheduling Problem.
  • A Novel Approach to Function Approximation: Adaptive Multimodule Regression Networks.
  • A Novel Hybrid Approach of Mean Field Annealing and Genetic Algorithm for Load Balancing Problem.
  • Geodesic Topographic Product: An Improvement to Measure Topology Preservation of Self-Organizing Neural Networks.
  • A Genetic Algorithm for the Shortest Common Superstring Problem.
  • Improving the Efficiency of a Clustering Genetic Algorithm.
  • The Hopfield Associative Memory Network: Improving Performance with the Kernel “Trick”.
  • A Cultural Algorithm with Differential Evolution to Solve Constrained Optimization Problems.
  • An Approach of Student Modelling in a Learning Companion System.
  • A BDI Approach to Infer Student’s Emotions.
  • Mobile Robotic Supported Collaborative Learning (MRSCL).
  • Evaluation of the Teaching-Learning Process with Fuzzy Cognitive Maps.
  • Using Simulated Annealing for Discrete Optimal Control Systems Design.
  • Determination of Possible Minimal Conflict Sets Using Constraint Databases Technology and Clustering.
  • Implementation of a Linguistic Fuzzy Relational Neural Network for Detecting Pathologies by Infant Cry Recognition.
  • Adding Personality to Chatterbots Using the Persona-AIML Architecture.
  • DIMEx100: A New Phonetic and Speech Corpus for Mexican Spanish.