Издательство InTech, 2008, -498 pp.
Artificial Intelligence (AI) is often referred to as a branch of science which deals with helping machines find solutions to complex problems in a more human-like fashion. It is generally associated with Computer Science, but it has many important links with other fields such as Maths, Psychology, Cognition, Biology and Philosophy. The AI success is due to its technology has diffused into everyday life. Neural networks, fuzzy controls, decision trees and rule-based systems are already in our mobile phones, washing machines and business applications.
The book Tools in Artificial Intelligence offers in 27 chapters a collection of all the technical aspects of specifying, developing, and evaluating the theoretical underpinnings and applied mechanisms of AI tools. Topics covered include neural networks, fuzzy controls, decision trees, rule-based systems, data mining, genetic algorithm and agent systems, among many others.
The goal of this book is to show some potential applications and give a partial picture of the current state-of-the-art of AI. Also, it is useful to inspire some future research ideas by identifying potential research directions. It is dedicated to students, researchers and practitioners in this area or in related fields.
Computational Intelligence in Software Cost Estimation: Evolving Conditional Sets of Effort Value Ranges
Towards Intelligible Query Processing in Relevance Feedback-Based Image Retrieval Systems
GNGS: An Artificial Intelligent Tool for Generating and Analyzing Gene Networks from Microarray Data
Preferences over Objects, Sets and Sequences
Competency-based Leaing Object Sequencing using Particle Swarms
Image Thresholding of Historical Documents Based on Genetic Algorithms
Segmentation of Greek Texts by Dynamic Programming
Applying Artificial Intelligence to Predict the Performance of Data-dependent Applications
Agent Systems in Software Engineering
A Joint Probability Data Association Filter Algorithm for Multiple Robot Tracking Problems
Symbiotic Evolution of Rule Based Classifiers
A Multiagent Method to Design Open Embedded Complex Systems
Content-based Image Retrieval Using Constrained Independent Component Analysis: Facial Image Retrieval Based on Compound Queries
Text Classification Aided by Clustering: a Literature Review
A Review of Past and Future Trends in Perceptual Anchoring
A Cognitive Vision Approach to Image Segmentation
An Introduction to the Problem of Mapping in Dynamic Environments
Inductive Conformal Prediction: Theory and Application to Neural Networks
Robust Classification of Texture Images using Distributional-based Multivariate Analysis
Recent Developments in Bit-Parallel Algorithms
Multi-Sensor Fusion for Mono and Multi-Vehicle Localization using Bayesian Network
On the Definition of a Standard Language for Modelling Constraint Satisfaction Problems
Software Component Clustering and Retrieval: An Entropy-based Fuzzy k-Modes Methodology
An Agent-Based System to Minimize Earthquake-Induced Damages
A Methodology for the Extraction of Reader?s Emotional State Triggered from Text Typography
Granule Based Inter-transaction Association Rule Mining
Countering Good Word Attacks on Statistical Spam Filters with Instance Differentiation and Multiple Instance Leaing
Artificial Intelligence (AI) is often referred to as a branch of science which deals with helping machines find solutions to complex problems in a more human-like fashion. It is generally associated with Computer Science, but it has many important links with other fields such as Maths, Psychology, Cognition, Biology and Philosophy. The AI success is due to its technology has diffused into everyday life. Neural networks, fuzzy controls, decision trees and rule-based systems are already in our mobile phones, washing machines and business applications.
The book Tools in Artificial Intelligence offers in 27 chapters a collection of all the technical aspects of specifying, developing, and evaluating the theoretical underpinnings and applied mechanisms of AI tools. Topics covered include neural networks, fuzzy controls, decision trees, rule-based systems, data mining, genetic algorithm and agent systems, among many others.
The goal of this book is to show some potential applications and give a partial picture of the current state-of-the-art of AI. Also, it is useful to inspire some future research ideas by identifying potential research directions. It is dedicated to students, researchers and practitioners in this area or in related fields.
Computational Intelligence in Software Cost Estimation: Evolving Conditional Sets of Effort Value Ranges
Towards Intelligible Query Processing in Relevance Feedback-Based Image Retrieval Systems
GNGS: An Artificial Intelligent Tool for Generating and Analyzing Gene Networks from Microarray Data
Preferences over Objects, Sets and Sequences
Competency-based Leaing Object Sequencing using Particle Swarms
Image Thresholding of Historical Documents Based on Genetic Algorithms
Segmentation of Greek Texts by Dynamic Programming
Applying Artificial Intelligence to Predict the Performance of Data-dependent Applications
Agent Systems in Software Engineering
A Joint Probability Data Association Filter Algorithm for Multiple Robot Tracking Problems
Symbiotic Evolution of Rule Based Classifiers
A Multiagent Method to Design Open Embedded Complex Systems
Content-based Image Retrieval Using Constrained Independent Component Analysis: Facial Image Retrieval Based on Compound Queries
Text Classification Aided by Clustering: a Literature Review
A Review of Past and Future Trends in Perceptual Anchoring
A Cognitive Vision Approach to Image Segmentation
An Introduction to the Problem of Mapping in Dynamic Environments
Inductive Conformal Prediction: Theory and Application to Neural Networks
Robust Classification of Texture Images using Distributional-based Multivariate Analysis
Recent Developments in Bit-Parallel Algorithms
Multi-Sensor Fusion for Mono and Multi-Vehicle Localization using Bayesian Network
On the Definition of a Standard Language for Modelling Constraint Satisfaction Problems
Software Component Clustering and Retrieval: An Entropy-based Fuzzy k-Modes Methodology
An Agent-Based System to Minimize Earthquake-Induced Damages
A Methodology for the Extraction of Reader?s Emotional State Triggered from Text Typography
Granule Based Inter-transaction Association Rule Mining
Countering Good Word Attacks on Statistical Spam Filters with Instance Differentiation and Multiple Instance Leaing