Advances in Artificial Intelligence – IBERAMIA 2004 [electronic resource] : 9th Ibero-American Conference on AI, Puebla, Mexico, November 22-26, 2004. Proceedings / edited by Christian Lemaître, Carlos A. Reyes, Jesús A. González.

By: Lemaître, Christian [editor.]Contributor(s): Reyes, Carlos A [editor.] | González, Jesús A [editor.] | SpringerLink (Online service)Material type: TextTextLanguage: English Series: Lecture Notes in Computer Science: 3315Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2004Description: XXXIII, 990 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540304982Subject(s): Computer science | Artificial intelligence | Computer vision | Computer Science | Artificial Intelligence (incl. Robotics) | Computation by Abstract Devices | Image Processing and Computer VisionAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342TJ210.2-211.495Online resources: Click here to access online
Contents:
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 Anticipatory Sensory-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.
In: Springer eBooksSummary: The 9th Ibero-American conference on Arti?cial Intelligence IBERAMIA 2004 took place in Mexico for the third time in 16 years, since the ?rst conference organized in Barcelona in January 1988. It was also the second time that the conference was held in the state of Puebla. The ?rst time, in 1996, it was the UniversidaddelaAm´ ericasPueblathatwasinchargeofthelocalorganizationof the conference, this year it was the turn of the Instituto Nacional de Astrof´ ?sica, ´ Optica y Electr´ onica, INAOE, to do it. The 1996 conference was the last conference where all the papers were p- sentedinSpanishorPortuguese.Sincethentheproceedingshavebeenpublished in English by Springer in the LNAI series. This linguistic change was a sign of the scienti?c maturity of the Ibero-American arti?cial intelligence community and the best way for it to share with the international arti?cial intelligence c- munity the best results of many of its research groups. It was also the way to open this forum to researchers of other countries to enrich the scienti?c content of the conferences. One relevant feature of the last four conferences with the proceedings p- lished in English by Springer is that, besides the participation of people from many countries, the majority of papers came from Ibero-American researchers.
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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 Anticipatory Sensory-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.

The 9th Ibero-American conference on Arti?cial Intelligence IBERAMIA 2004 took place in Mexico for the third time in 16 years, since the ?rst conference organized in Barcelona in January 1988. It was also the second time that the conference was held in the state of Puebla. The ?rst time, in 1996, it was the UniversidaddelaAm´ ericasPueblathatwasinchargeofthelocalorganizationof the conference, this year it was the turn of the Instituto Nacional de Astrof´ ?sica, ´ Optica y Electr´ onica, INAOE, to do it. The 1996 conference was the last conference where all the papers were p- sentedinSpanishorPortuguese.Sincethentheproceedingshavebeenpublished in English by Springer in the LNAI series. This linguistic change was a sign of the scienti?c maturity of the Ibero-American arti?cial intelligence community and the best way for it to share with the international arti?cial intelligence c- munity the best results of many of its research groups. It was also the way to open this forum to researchers of other countries to enrich the scienti?c content of the conferences. One relevant feature of the last four conferences with the proceedings p- lished in English by Springer is that, besides the participation of people from many countries, the majority of papers came from Ibero-American researchers.

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