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Intelligent Information Technologies—Concepts, Methodologies, Tools, and Applications

 

 

Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications

by Vijayan Sugumaran (ed) 

2008 (2469 pages)

ISBN:9781599049410

Featuring 340 of the world’s leading experts on next-generation technologies, this collection provides a foundational body of research to drive further evolution and innovation in the context of these technologies and their applications.

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Intelligent Information Technologies—Concepts, Methodologies, Tools, and Applications

 

Intelligent Information Technologies—Methodologies, Tools, and Applications

Preface

Section 1 - Fundamental Concepts and Theories

Chapter 1.1

-

An Overview of Multimodal Interaction Techniques and Applications

Chapter 1.2

-

Attack of the Rainbow Bots—Generating Diversity through Multi-Agent Systems

Chapter 1.3

-

Pervasive Computing—What is it Anyway?

Chapter 1.4

-

Reconstructing Human Intelligence within Computational Sciences—An Introductory Essay

Chapter 1.5

-

Agent-Oriented Methodologies—An Introduction

Chapter 1.6

-

A Tutorial on Hierarchical Classification with Applications in Bioinformatics

Chapter 1.7

-

Introduction to Speech Recognition

Chapter 1.8

-

Speaker Recognition

Chapter 1.9

-

Declarative Planning and Knowledge Representation in an Action Language

Chapter 1.10

-

Artificial Neural Networks—Applications in Finance and Manufacturing

Chapter 1.11

-

A Cooperative Communicative Intelligent Agent Model for E-Commerce

Chapter 1.12

-

Intrusion Detection Using Modern Techniques—Integration of Genetic Algorithms and Rough Set with Neural Nets

Chapter 1.13

-

Several Approaches to Variable Selection by Means of Genetic Algorithms

Chapter 1.14

-

Genetic Programming

Chapter 1.15

-

Intelligent Data Analysis

Chapter 1.16

-

Learning Bayesian Networks

Chapter 1.17

-

Ontologies and E-Learning—How to Teach a Classification

Chapter 1.18

-

On Measuring the Attributes of Evolutionary Algorithms—A Comparison of Algorithms Used for Information Retrieval

Chapter 1.19

-

Combining Requirements Engineering and Agents

Chapter 1.20

-

Computational Intelligence Techniques

Section 2 - Development and Design Methodologies

Chapter 2.1

-

Clustering Analysis and Algorithms

Chapter 2.2

-

Trust Models for Ubiquitous Mobile Systems

Chapter 2.3

-

Machine Learning for Agents and Multi-Agent Systems

Chapter 2.4

-

Bayesian Modelling for Machine Learning

Chapter 2.5

-

A Bayesian Framework for Improving Clustering Accuracy of Protein Sequences Based on Association Rules

Chapter 2.6

-

The Agent-Oriented Methodology MAS-CommonKADS

Chapter 2.7

-

Creating a Comprehensive Agent-Oriented Methodolgy—Using Method Engineering and the OPEN Metamodel

Chapter 2.8

-

From Requirements to Code with the PASSI Methodology

Chapter 2.9

-

Engineering Adaptive Multi-Agent Systems—The ADELFE Methodology

Chapter 2.10

-

Question Answering from Procedural Semantics to Model Discovery

Chapter 2.11

-

Fuzzy Logic Usage in Emotion Communication of Human Machine Interaction

Chapter 2.12

-

Designing Online Games Assessment as "Information Trails"

Chapter 2.13

-

Building Sequence Kernels for Speaker Verification and Word Recognition

Chapter 2.14

-

A Haplotype Analysis System for Genes Discovery of Common Diseases

Chapter 2.15

-

Algorithmic Aspects of Protein Threading

Chapter 2.16

-

Differential Association Rules—Understanding Annotations in Protein Interaction Networks

Chapter 2.17

-

Rewriting and Efficient Computation of Bound Disjunctive Datalog Queries

Chapter 2.18

-

Semantic Knowledge Mining Techniques for Ubiquitous Access Media Usage Analysis

Chapter 2.19

-

Designing Agent-Based Negotiation for E-Marketing

Chapter 2.20

-

A Stage Model for NPD Process Maturity and IKMS Implementation

Chapter 2.21

-

Development of an Intelligent Information System for Object-Oriented Software Design

Chapter 2.22

-

Document-Driven Design for Distributed CAD Services

Section 3 - Tools and Technologies

 

Chapter 3.1

-

The User Agent Architecture and E-Learning in Healthcare and Social Care

Chapter 3.2

-

ECG Diagnosis Using Decision Support Systems

Chapter 3.3

-

Genomic Databanks for Biomedical Informatics

Chapter 3.4

-

Semantic Web Services for Healthcare

Chapter 3.5

-

The Weather Tool—An Agent-Based Approach to Information Integration

Chapter 3.6

-

Building Artificially Intelligent Learning Games

Chapter 3.7

-

Cluster-Based Input Selection for Transparant Fuzzy Modeling

Chapter 3.8

-

Swarm-Based Wayfinding Support in Open and Distance Learning

Chapter 3.9

-

A Complex Support Vector Machine Approach to OFDM Coherent Demodulation

Chapter 3.10

-

Classification of Multiple Interleaved Human Brain Tasks in Functional Magnetic Resonance Imaging

Chapter 3.11

-

Comparative Genome Annotation Systems

Chapter 3.12

-

DNA Sequence Visualization

Chapter 3.13

-

Differentially Fed Artificial Neural Networks for Speech Signal Prediction

Chapter 3.14

-

Neural Networks for the Classification of Benign and Malignant Patterns in Digital Mammograms

Chapter 3.15

-

Self-Organising Impact Sensing Networks in Robust Aerospace Vehicles

Chapter 3.16

-

Soft Computing Paradigms and Regression Trees in Decision Support Systems

Chapter 3.17

-

Robust Algorithms for DOA Estimation and Adaptive Beamforming in Wireless Mobile Communications

Chapter 3.18

-

Fuzzy Reasoning Approach for Local Connectivity Management in Mobile Ad Hoc Networks

Chapter 3.19

-

Intelligent Reasoning Approach for Active Queue Management in Wireless Ad Hoc Networks

Chapter 3.20

-

Hybrid System with Artificial Neural Networks and Evolutionary Computation in Civil Engineering

Chapter 3.21

-

Astrocytes and Biological Neural Networks

Chapter 3.22

-

Stochastic Optimization Algorithms

Chapter 3.23

-

Support Vector Machines

Chapter 3.24

-

XWRAPComposer—A Multi-Page Data Extraction Service

Chapter 3.25

-

Particle Swarms—Optimization Based on Sociocognition

Chapter 3.26

-

Computational Intelligence for Modelling and Control of Multi-Robot Systems

Chapter 3.27

-

Wearable and Ubiquitous Video Data Management for Computational Augmentation of Human Memory

Chapter 3.28

-

Ubiquitous Agent-Based Campus Information Providing System for Cellular Phones

Chapter 3.29

-

Automated Object Detection and Tracking for Intelligent Visual Surveillance Based on Sensor Network

Section 4 - Utilization and Application

Chapter 4.1

-

Decision Support Systems and their Application in Construction

Chapter 4.2

-

Care2x in Medical Informatics Education

Chapter 4.3

-

Virtual Reality Simulation in Human Applied Kinetics and Ergo Physiology

Chapter 4.4

-

Environmental Variability and the Emergence of Meaning—Simulational Studies Across Imitation, Genetic Algorithms, and Neural Networks

Chapter 4.5

-

Extracting and Customizing Information Using Multi-Agents

Chapter 4.6

-

Comparison of Ten Agent-Oriented Methodologies

Chapter 4.7

-

Games and Simulations—A New Approach in Education?

Chapter 4.8

-

A Fuzzy Logic-Based Approach for Supporting Decision-Making Process in B2C Electronic Commerce Transaction

Chapter 4.9

-

Coordinating Agent Interactions Under Open Environments

Chapter 4.10

-

The Application of Swarm Intelligence to Collective Robots

Chapter 4.11

-

Cooperative AI Techniques for Stellar Spectra Classification—A Hybrid Strategy

Chapter 4.12

-

Prediction of the Consistency of Concrete by Means of the Use of Artificial Neural Networks

Chapter 4.13

-

Evaluation of a Fuzzy Ontology-Based Medical Information System

Chapter 4.14

-

Applying Information Gathering Techniques in Business-to-Consumer and Web Scenarios

Chapter 4.15

-

Financial Classification Using an Artificial Immune System

Chapter 4.16

-

Engineering Information Modeling in Databases

Chapter 4.17

-

Ant Colony Algorithms for Steiner Trees—An Application to Routing in Sensor Networks

Chapter 4.18

-

Design Wind Speeds Using Fast Fourier Transform—A Case Study

Chapter 4.19

-

Application of Fuzzy Logic to Fraud Detection

Chapter 4.20

-

Structural Assessment of RC Constructions and Fuzzy Expert Systems

Section 5 - Organizational and Social Implications

Chapter 5.1

-

The Goose, the Fly, and the Submarine Navigator—Interdisciplinarity in Artificial Cognition Research

Chapter 5.2

-

Multi-Agent Systems as Computational Organizations—The Gaia Methodology

Chapter 5.3

-

Virtual Organization Support Through Electronic Institutions and Normative Multi-Agent Systems

Chapter 5.4

-

Discursive Context-Aware Knowledge and Learning Management Systems

Chapter 5.5

-

Using Emotional Intelligence in Personalized Adaptation

Chapter 5.6

-

Social Coordination with Architecture for Ubiquitous Agents—CONSORTS

Chapter 5.7

-

Artificial Intelligence Techniques in Medicine and Health Care

Chapter 5.8

-

Artificial Neural Networks in Financial Trading

Chapter 5.9

-

Virtual Communities and the Alignment of Web Ontologies

Chapter 5.10

-

Customer Perceptions Toward Mobile Games Delivered via the Wireless Application Protocol

Chapter 5.11

-

Modeling Malaria with Multi-Agent Systems

Section 6 - Managerial Impact

Chapter 6.1

-

Data Mining and Decision Support for Business and Science

Chapter 6.2

-

Computational Intelligence Applications in Business—A Cross-Section of the Field

Chapter 6.3

-

Artificial Intelligence in Electricity Market Operations and Management

Chapter 6.4

-

Channel Choices and Revenue Logics of Software Companies Developing Mobile Games

Chapter 6.5

-

Agent-Based Modeling for Simulation of Complex Business Systems—Research Design and Validation Strategies

Chapter 6.6

-

Using Agent Technology for Company Knowledge Management

Section 7 - Critical Issues

Chapter 7.1

-

It's All in the Game—How to Use Simulation-Games for Competitive Intelligence and How to Support Them by ICT

Chapter 7.2

-

Does a Functioning Mind Need a Functioning Body?—Some Perspectives from Postclassical Computation

Chapter 7.3

-

Memory and Emotion in the Cognitive Architecture

Chapter 7.4

-

Neuroglial Behaviour in Computer Science

Chapter 7.5

-

Ethics of Workplace Surveillance Games

Chapter 7.6

-

Lessons Learned in Designing Ubiquitous Augmented Reality User Interfaces

Chapter 7.7

-

Accessing Learning Content in a Mobile System—Does Mobile Mean Always Connected?

Chapter 7.8

-

Culture-Based Language Learning Objects—A CALL Approach for a Ubiquitous World

Chapter 7.9

-

Leveraging Pervasive and Ubiquitous Service Computing

Chapter 7.10

-

Trust and Privacy Permissions for an Ambient World

Chapter 7.11

-

Modeling the Free/Open Source Software Community—A Quantitative Investigation

Chapter 7.12

-

"You're In Our World Now." Ownership and Access in the Proprietary Community of an MMOG

Section 8 - Emerging Trends

Chapter 8.1

-

Literacy by Way of Automatic Speech Recognition

Chapter 8.2

-

Financial Markets in the Internet Age

Chapter 8.3

-

Game Mods—Customizable Learning in a K16 Setting

Chapter 8.4

-

Once More Unto the Breach—Towards Artificial Homeostasis

Chapter 8.5

-

Forecasting the Stock Market with ANNs and Autonomous Agents

Chapter 8.6

-

Facial and Body Feature Extraction for Emotionally-Rich HCI

Chapter 8.7

-

Developments in Structural Optimization and Applications to Intelligent Structural Vibration Control

Chapter 8.8

-

Facial Expression and Gesture Analysis for Emotionally-Rich Man-Machine Interaction

Chapter 8.9

-

Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks

Chapter 8.10

-

From Planning Tools to Intelligent Assistants—Meme Media and Logic Programming Technologies

Chapter 8.11

-

Explaining Algorithms—A New Perspective

Chapter 8.12

-

Games and Advertisement—Beyond Banners and Billboards

Chapter 8.13

-

Mobile Games—Emerging Content Business Area

Chapter 8.14

-

Toward an Organization—Oriented Design Methodology for Agent Societies

Chapter 8.15

-

Engineering Emotionally Intelligent Agents

Chapter 8.16

-

Evolutionary Computation as a Paradigm for Engineering Emergent Behavior in Multi-Agent Systems

Chapter 8.17

-

Human-Based Models for Ambient Intelligence Environments

Chapter 8.18

-

Towards a Design Process for Integrating Product Recommendation Services in E-Markets

Chapter 8.19

-

Neo-Symbiosis—The Next Stage in the Evolution of Human Information Interaction