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Recent Trends in Applied Artificial Intelligence 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, Amsterdam, The Netherlands, June 17-21, 2013. Proceedings

Title
Recent Trends in Applied Artificial Intelligence [electronic resource] : 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, Amsterdam, The Netherlands, June 17-21, 2013. Proceedings / edited by Moonis Ali, Tibor Bosse, Koen V. Hindriks, Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur.
ISBN
9783642385773
Published
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Physical Description
XX, 697 p. 279 illus. digital.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This volume constitutes the thoroughly refereed conference proceedings of the 26th International Conference on Industrial Engineering and Other Applications of Applied Intelligence Systems, IEA/AIE 2013, held in Amsterdam, The Netherlands, in June 2013. The total of 71 papers selected for the proceedings were carefully reviewed and selected from 185 submissions. The papers focus on the following topics: auctions and negotiation, cognitive modeling, crowd behavior modeling, distributed systems and networks, evolutionary algorithms, knowledge representation and reasoning, pattern recognition, planning, problem solving, robotics, text mining, advances in recommender systems, business process intelligence, decision support for safety-related systems, innovations in intelligent computation and applications, intelligent image and signal processing, and machine learning methods applied to manufacturing processes and production systems.
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
June 06, 2013
Series
Lecture notes in computer science ; 7906.
Lecture Notes in Computer Science, 7906
Contents
Auctions and Negotiation
Developing Online Double Auction Mechanism for Fishery Markets
A Mediator-Based Agent Negotiation Protocol for Utilities That Change with Time
Cognitive Modeling
Learning Parameters for a Cognitive Model on Situation Awareness
Fostering Social Interaction of Home-Bound Elderly People: The EasyReach System
Cooperative Games with Incomplete Information among Secondary Base Stations in Cognitive Radio Networks
Crowd Behavior Modeling
Ant Colony Optimisation for Planning Safe Escape Routes
A Spatio-Temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning.-Predicting Human Behavior in Crowds: Cognitive Modeling versus Neural Networks
Distributed Systems and Networks
Analyzing Grid Log Data with Affinity Propagation
Using Ising Model to Study Distributed Systems Processing Capability
Evolutionary Algorithms
Computing the Consensus Permutation in Mallows Distribution by Using Genetic Algorithms
A Hybrid Genetic Algorithm for the Maximum Satisfiability Problem
Knowledge Representation and Reasoning
An Object Representation Model Based on the Mechanism of Visual Perception.-Web Metadata Extraction and Semantic Indexing for Learning Objects Extraction.-Pattern Recognition.-Approximately Recurring Motif Discovery Using Shift Density Estimation.-An Online Anomalous Time Series Detection Algorithm for Univariate Data Streams.-Assisting Web Site Navigation through Web Usage Patterns.-Planning
GRASPing Examination Board Assignments for University-Entrance Exams
A Greedy Look-Ahead Heuristic for the Container Relocation Problem
Integrating Planning and Scheduling in the ISS Fluid Science Laboratory Domain
Efficient Identification of Energy-Optimal Switching and Operating Sequences for Modular Factory Automation Systems.-Problem Solving
The Two-Dimensional Vector Packing Problem with Courier Cost Structure.-Penguins Search Optimization Algorithm (PeSOA).-A Bidirectional Building Approach for the 2D Guillotine Knapsack-Packing Problem
Increasing the Antibandwidth of Sparse Matrices by a Genetic Algorithm.-A New GA-Based Method for Temporal Constraint Problems
On Using the Theory of Regular Functions to Prove the -Optimality of the Continuous Pursuit Learning Automaton
Robotics
Online Exploratory Behavior Acquisition of Mobile Robot Based on Reinforcement Learning
Improved Sound Source Localization and Front-Back Disambiguation for Humanoid Robots with Two Ears
Designing and Optimization of Omni-Directional Kick for Bipedal Robots.-Aerial Service Vehicles for Industrial Inspection: Task Decomposition and Plan Execution.-A BSO-Based Algorithm for Multi-robot and Multi-target Search
Text Mining
Economic Sentiment: Text-Based Prediction of Stock Price Movements with Machine Learning and WordNet
Feature Extraction Using Single Variable Classifiers for Binary Text Classification.-An Approach to Automated Learning of Conceptual Graphs from Text
Semi-supervised Latent Dirichlet Allocation for Multi-label Text Classification
Special Session on Advances in Recommender Systems
Recommending Interest Groups to Social Media Users by Incorporating Heterogeneous Resources
Recent Advances in Recommendation Systems for Software Engineering
WE-DECIDE: A Decision Support Environment for Groups of Users
Special Session on Business Process Intelligence Logic-Based Incremental Process Mining in Smart Environments
Information Mining Processes Based on Intelligent Systems
Customer Churn Detection System: Identifying Customers Who Wish to Leave a Merchant
Special Session on Decision Support for Safety related Systems Hazard Identification of the Offshore Three-Phase Separation Process Based on Multilevel Flow Modeling and HAZOP
Multilevel Flow Modeling Based Decision Support System and Its Task Organization.-Simulation-Based Fault Propagation Analysis – Application on Hydrogen Production Plant
Automatic Decomposition and Allocation of Safety Integrity Levels Using a Penalty-Based Genetic Algorithm
HAZOP Analysis System Compliant with Equipment Models Based on SDG
Special Session on Innovations in Intelligent Computation and Applications
TAIEX Forecasting Based on Fuzzy Time Series and Technical Indices Analysis of the Stock Market
Hierarchical Gradient Diffusion Algorithm for Wireless Sensor Networks
Constructing a Diet Recommendation System Based on Fuzzy Rules and Knapsack Method
An Intelligent Stock-Selecting System Based on Decision Tree Combining Rough Sets Theory
Cloud-Based LED Light Management System and Implementation Based-on Wireless Communication
A Study on Online Game Cheating and the Effective Defense
Credit Rating Analysis with Support Vector Machines and Artificial Bee Colony Algorithm
An ACO Algorithm for the 3D Bin Packing Problem in the Steel Industry
Special Session on Intelligent Image and Signal Processing Controlling Search Using an S Decreasing Constriction Factor for Solving Multi-mode Scheduling Problems
Extracting Blood Vessel in Sclera-Conjunctiva Image Based on Fuzzy C-means and Modified Cone Responses
A Spherical Coordinate Based Fragile Watermarking Scheme for 3D Models - Palm Image Recognition Using Image Processing Techniques
Liver Cell Nucleuses and Vacuoles Segmentation by Using Genetic Algorithms for the Tissue Images
Mouth Location Based on Face Mask and Projection
Environmental Background Sounds Classification Based on Properties of Feature Contours
On the Prediction of Floor Identification Credibility in RSS-Based Positioning Techniques
A Study of Vessel Origin Detection on Retinal Images
The Tires Worn Monitoring Prototype System Using Image Clustering Technology
Quality Assessment Model for Critical Manufacturing Process of Crystal Oscillator
Local Skew Estimation in Moving Business Cards
Special Session on Machine Learning Methods
Applied to Manufacturing Processes and Production Systems Imbalanced Learning Ensembles for Defect Detection in X-Ray Images
Improvements in Modelling of Complex Manufacturing Processes Using Classification Techniques
A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks
Estimating the Maximum Shear Modulus with Neural Networks.
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