Intelligent Information Technologies: Concepts, Methodologies, Tools and Applications, 1st Edition

  • Published By:
  • ISBN-10: 1599049422
  • ISBN-13: 9781599049427
  • Grade Level Range: College Freshman - College Senior
  • 2396 Pages | eBook
  • Original Copyright 2007 | Published/Released May 2008
  • This publication's content originally published in print form: 2007

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About

Overview

Compiles research on a new generation of intelligent technologies such as Semantic Web, multi-agent systems, and Web ontologies, which are emerging rapidly as the next force for change, innovation, and opportunity in the information-technology realm. Covers leading-edge developments such as artificial intelligence, virtual environments, and multi-media information processing.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Editor-in-Chief.
List of Contributors.
Contents by Volume.
Preface.
Introductory Chapter Intelligent Information Technologies: Methodologies, Tools, and Applications.
About the Editor.
1: Fundamental Concepts and Theories.
2: An Overview of Multimodal Interaction Techniques and Applications.
3: Attack of the Rainbow Bots: Generating Diversity through Multi-Agent Systems.
4: Pervasive Computing: What is it Anyway?.
5: Reconstructing Human Intelligence within Computational Sciences: An Introductory Essay.
6: Agent-Oriented Methodologies: An Introduction.
7: A Tutorial on Hierarchical Classification with Applications in Bioinformatics.
8: Introduction to Speech Recognition.
9: Speaker Recognition.
10: Declarative Planning and Knowledge Representation in an Action Language.
11: Artificial Neural Networks: Applications in Finance and Manufacturing.
12: A Cooperative Communicative Intelligent Agent Model for E-Commerce.
13: Intrusion Detection Using Modern Techniques: Integration of Genetic Algorithms and Rough Set with Neural Nets.
14: Several Approaches to Variable Selection by Means of Genetic Algorithms.
15: Genetic Programming.
16: Intelligent Data Analysis.
17: Learning Bayesian Networks.
18: Ontologies and E-Learning: How to Teach a Classification.
19: On Measuring the Attributes of Evolutionary Algorithms: A Comparison of Algorithms used for Information Retrieval.
20: Combining Requirements Engineering and Agents.
21: Computational Intelligence Techniques.
22: Development and Design Methodologies.
23: Clustering Analysis and Algorithms.
24: Trust Models for Ubiquitous Mobile Systems.
25: Machine Learning for Agents and Multi-Agent Systems.
26: Bayesian Modelling for Machine Learning.
27: A Bayesian Framework for Improving Clustering Accuracy of Protein Sequences Based on Association Rules.
28: The Agent-Oriented Methodology MAS-CommonKADS.
29: Creating a Comprehensive Agent-Oriented Methodolgy: Using Method Engineering and the OPEN Metamodel.
30: From Requirements to Code with the PASSI Methodology.
31: Engineering Adaptive Multi-Agent Systems: The ADELFE Methodology.
32: Question Answering from Procedural Semantics to Model Discovery.
33: Fuzzy Logic Usage in Emotion Communication of Human Machine Interaction.
34: Designing Online Games Assessment as “Information Trails”.