Opportunities and Challenges for Next-Generation Applied Intelligence

ISBN-13: 9783540928133 / Angielski / Twarda / 2009 / 344 str.

Been-Chian Chien; Tzung-Pei Hong

Opis

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 s- tems, fuzzy logic, robots, intelligent interfaces, internet technology, planning and scheduling, are also commonly used in applied intelligence.

Spis treści

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 Stock 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: An Adjustable 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.

Blurb

The term "Artificial Intelligence" has been used since 1956 and has become a very popular research field. AI Techniques have been used in almost any domain. The term "Applied Intelligence" was 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, biomedicine, bioinformatics, cyberspace, man-machine interactions, etc.

The International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE) seeks for quality papers on applied intelligence that incorporate all kinds of real life problems. The objective of the conference was to bring together scientists, engineers and practitioners, who work on designing or developing applications that use intelligent techniques or work on intelligent techniques and apply them to application domains. The book is comprises of 12 parts including 52 chapters providing an up-to-date and state-of-the research on the applications of artificial Intelligence techniques.