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Artificial Intelligence in Theory and Practice II

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Cover of 'Artificial Intelligence in Theory and Practice II'

Table of Contents

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    Book Overview
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    Chapter 1 A Light-Weight Multi-Agent System Manages 802.11 Mesh Networks
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    Chapter 2 Decisions with multiple simultaneous goals and uncertain causal effects
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    Chapter 3 Agent Based Frequent Set Meta Mining: Introducing EMADS
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    Chapter 4 On the evaluation of MAS development tools
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    Chapter 5 Information-Based Planning and Strategies
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    Chapter 6 Teaching Autonomous Agents to Move in a Believable Manner within Virtual Institutions
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    Chapter 7 Mining Fuzzy Association Rules from Composite Items
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    Chapter 8 P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
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    Chapter 9 Applying Data Mining to the Study of Joseki
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    Chapter 10 A Fuzzy Semi-Supervised Support Vector Machines Approach to Hypertext Categorization
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    Chapter 11 Estimation of Neural Network Parameters for Wheat Yield Prediction
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    Chapter 12 Enhancing RBF-DDA Algorithm’s Robustness: Neural Networks Applied to Prediction of Fault-Prone Software Modules
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    Chapter 13 A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System
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    Chapter 14 Answer Extraction for Definition Questions using Information Gain and Machine Learning
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    Chapter 15 Batch Reinforcement Learning for Controlling a Mobile Wheeled Pendulum Robot
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    Chapter 16 Optimizing Relationships Information in Repertory Grids
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    Chapter 17 Modeling Stories in the Knowledge Management Context to Improve Learning Within Organizations
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    Chapter 18 Knowledge Modeling Framework for System Engineering Projects
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    Chapter 19 Machines with good sense: How can computers become capable of sensible reasoning?
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    Chapter 20 Making Use of Abstract Concepts–Systemic-Functional Linguistics and Ambient Intelligence
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    Chapter 21 Making Others Believe What They Want
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    Chapter 22 Foundation for Virtual Experiments to Evaluate Thermal Conductivity of Semi- and Super-Conducting Materials
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    Chapter 23 Intelligent Systems Applied to Optimize Building’s Environments Performance
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    Chapter 24 A Comparative Analysis of One-class Structural Risk Minimization by Support Vector Machines and Nearest Neighbor Rule
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    Chapter 25 Estimation of the Particle Size Distribution of a Latex using a General Regression Neural Network
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    Chapter 26 Intelligent Advisory System for Designing Plastics Products
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    Chapter 27 Modeling the Spread of Preventable Diseases: Social Culture and Epidemiology
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    Chapter 28 An Intelligent Decision Support System for the Prompt Diagnosis of Malaria and Typhoid Fever in the Malaria Belt of Africa
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    Chapter 29 Detecting Unusual Changes of Users Consumption
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    Chapter 30 Optimal Subset Selection for Classification through SAT Encodings
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    Chapter 31 Multi-objective Model Predictive Optimization using Computational Intelligence
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    Chapter 32 An Intelligent Method for Edge Detection based on Nonlinear Diffusion
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    Chapter 33 A Survey of Exploiting WordNet in Ontology Matching
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    Chapter 34 Using Competitive Learning between Symbolic Rules as a Knowledge Learning Method
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    Chapter 35 Artificial Intelligence in Theory and Practice II
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    Chapter 36 Context Search Enhanced by Readability Index
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    Chapter 37 Towards an Enhanced Vector Model to Encode Textual Relations: Experiments Retrieving Information
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    Chapter 38 Efficient Two-Phase Data Reasoning for Description Logics
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    Chapter 39 Some Issues in Personalization of Intelligent Systems: An Activity Theory Approach for Meta Ontology Development
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    Chapter 40 Smart communications network management through a synthesis of distributed intelligence and information
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    Chapter 41 An Abductive Multi-Agent System for Medical Services Coordination
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    Chapter 42 A New Learning Algorithm for Neural Networks with Integer Weights and Quantized Non-linear Activation Functions
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    Chapter 43 Neural Recognition of Minerals
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    Chapter 44 Bayesian Networks Optimization Based on Induction Learning Techniques
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    Chapter 45 Application of Business Intelligence for Business Process Management
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    Chapter 46 Learning Life Cycle in Autonomous Intelligent Systems
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    Chapter 47 A Map-based Integration of Ontologies into an Object-Oriented Programming Language
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2 X users
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Citations

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Title
Artificial Intelligence in Theory and Practice II
Published by
Springer US, January 2008
DOI 10.1007/978-0-387-09695-7
ISBNs
978-0-387-09694-0, 978-0-387-09695-7
Editors

Max Bramer

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 3%
Italy 1 3%
Taiwan 1 3%
Austria 1 3%
Unknown 35 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Student > Bachelor 5 13%
Student > Ph. D. Student 4 10%
Lecturer 3 8%
Researcher 3 8%
Other 7 18%
Unknown 9 23%
Readers by discipline Count As %
Computer Science 13 33%
Engineering 6 15%
Business, Management and Accounting 4 10%
Social Sciences 3 8%
Materials Science 1 3%
Other 1 3%
Unknown 11 28%