Opportunities and Challenges for Next-Generation Applied Intelligence / Edition 1

by Been-Chian Chien, Tzung-Pei Hong

Overview

The term “Artificial Intelligence” has been used since 1956 and has become a very popular research field. Generally, it is the study of the computations that enable a system to perceive, reason and act. In the early days, it was expected to achieve the same intelligent behavior as a human, but found impossible at last. Its goal was thus revised to design and use of intelligent methods to make systems more ef- cient at solving problems. The term “Applied Intelligence” was thus created to represent its practicality. It emphasizes applications of applied intelligent systems to solve real-life problems in all areas including engineering, science, industry, automation, robotics, business, finance, medicine, bio-medicine, bio-informatics, cyberspace, and man-machine interactions. To endow the intelligent behavior of a system, many useful and interesting techniques have been developed. Some of them are even borrowed from the na- ral observation and biological phenomenon. Neural networks and evolutionary computation are two examples of them. Besides, some other heuristic approaches like data mining, adaptive control, intelligent manufacturing, autonomous agents, bio-informatics, reasoning, computer vision, decision support systems, expert systems, fuzzy logic, robots, intelligent interfaces, internet technology, planning and scheduling, are also commonly used in applied intelligence.

Product Details

ISBN-13:	9783540928133
Publisher:	Springer Berlin Heidelberg
Publication date:	05/20/2009
Series:	Studies in Computational Intelligence , #214
Edition description:	2009
Pages:	344
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Bio-informatics.- An Intelligent System for Analyzing Gene Networks from Microarray Data.- Predicting Residue-Wise Contact Orders in Proteins by Support Vector Regression with Parametric-Insensitive Model.- SNP-Flankplus: SNP ID-Centric Retrieval of Flanking Sequences.- Tumor Classification on Mammographies Based on BPNN and Sobel Filter.- Computer Vision.- An Adaptive Biometric System Based on Palm Texture Feature and LVQ Neural Network.- A Binarization Approach for Wafer ID Based on Asterisk-Shape Filter.- Feature Particles Tracking for the Moving Object.- Break-Segment Detection and Recognition in Broadcasting Video/Audio Based on C/S Architecture.- Data Mining and Knowledge Discovery.- A Time Series Case-Based Predicting Model for Reservation Forecasting.- A Filtering Approach for Mining Frequent Itemsets.- Mining Data Streams with Skewed Distribution by Static Classifier Ensemble.- Accumulative Influence Weight Collaborative Filtering Recommendation Approach.- RAD: A Radar-Alike Data-Clustering Algorithm for Large Databases.- Decision Support Systems.- Applying ELECTRE and Maximizing Deviation Method for Sk Portfolio Selection under Fuzzy Environment.- Constraint Programming Approach for a University Timetabling Decision Support System with Hard and Soft Constraints.- Behavioral Scoring Model for Bank Customers Using Data Envelopment Analysis.- Decision Support for Combinatorial Reverse Auction with Multiple Buyers and Sellers.- Visualization-Based Approaches to Support Context Sharing towards Public Involvement Support System.- Genetic Algorithms.- A Case Study of Genetic Algorithms for Quay Crane Scheduling.- Genetic Algorithm and Time-Scale Separation on the Reduced-Order Observer-Based Control Design for a Class of Discrete Systems.- AKDB–Tree: AnAdjustable KDB-Tree for Efficiently Supporting Nearest Neighbor Queries in P2P Systems.- Optimal Lot Sizing and Algorithm for Dynamic Pricing under Random Yield and Demand.- Intelligent Design and Manufacturing.- Collaborative Production Machine Choice System Based on Hierarchical Case Based Reasoning.- Passive Analog Filter Design Using GP Population Control Strategies.- Thruster Fault-Tolerant for UUVs Based on Quantum-Behaved Particle Swarm Optimization.- Intelligent System for Locating, Labeling, and Logging (ISL 3).- Probabilistic Analysis of Information Center Insecurity.- Intelligent Systems.- Application of Combined Forecasting Models to Intelligent Transportation Systems.- Fuzzy Performance Analysis Model Based on Grid Environment.- Emotional Processes in Computer Games.- Probability Reasoning Internet Assessment System with Rule Usage Structures and Similarity Comparisons.- Integration Systems for Real Life Applications.- Combining Genetic Algorithm and Simulated Annealing to Design H 2 / H∞ Deconvolution Filter with Missing Observations.- The Hybrid Model Development of Clustering and Back Propagation Network in Printed Circuit Board Sales Forecasting.- Toward the Knowledge Circulation between Institutions and Public Audiences with Virtual Agents.- Muon Tomography Algorithms for Nuclear Threat Detection.- Machine Learning.- A Model-Based Software Reasoning Approach to Software Debugging.- Learning Rules from Multiple Criteria Decision Tables.- A Mobile Location Algorithm with Least Range and Clustering Techniques for NLoS Environments.- Learning Interaction Structure Using a Hierarchy of Dynamical Systems.- Fuzzy Assessment for Survey Defuzzified by Signed Distance Method.- Multi-Agent Systems.- Multi-Mobile Agent Based Virtual Alliance Formation(MAVAF) Platform.- On Supporting Cross-Platform Statistical Data Analysis Using JADE.- Building Agents That Learn by Observing Other Agents Performing a Task: A Sequential Pattern Mining Approach.- A Multi-agent System Architecture for Personal Support during Demanding Tasks.- Planning and Scheduling.- The Selective Traveling Salesman Problem with Regular Working Time Windows.- Scheduling for Dedicated Machine Constraint Using the Shortest Paths in Graphs.- Comparing Path Length by Boundary Following Fast Matching Method and Bug Algorithms for Path Planning.- A Capacitated Vehicle Routing Problem with Toll-by-Weight Rule.- Mining Interesting Knowledge.- A Novel Multidimensional Scaling Technique for Mapping Word-Of-Mouth Discussions.- Comprehensible Knowledge Discovery Using Particle Swarm Optimization with Monotonicity Constraints.- Incorporation of Adapted Real World Tournament Selection into Artificial Immune Recognition System.- Competition State Visualization for Sales Record Mining.