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Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications

by Vijayan Sugumaran (ed)

2009 (450 pages)

ISBN:9781605661445

Offering an enriched set of research articles in artificial intelligence, this comprehensive collection covers significant AI subjects such as information retrieval, conceptual modeling, supply chain demand forecasting, and machine learning algorithms.

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Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications
Preface
Section I - Distributed Agent Applications and Decision Support
Chapter I	-	Designing Multi-Agent Systems from Logic Specifications—A Case Study
Chapter II	-	Multi-Agent Architecture for Knowledge-Driven Decision Support
Chapter III	-	A Decision Support System for Trust Formalization
Chapter IV	-	Using Misunderstanding and Discussion in Dialog as a Knowledge Acquisition or Enhancement Procecss
Chapter V	-	Improving E-Trade Auction Volume by Consortium
Chapter VI	-	Extending Loosely Coupled Federated Information Systems Using Agent Technology
Chapter VII	-	Modeling Fault Tolerant and Secure Mobile Agent Execution in Distributed Systems
Section II - Search and Retrieval
Chapter VIII	-	Search Engine Performance Comparisons
Chapter IX	-	A User-Centered Approach for Information Retrieval
Chapter X	-	Classification and Retrieval of Images from Databases Using Rough Set Theory
Chapter XI	-	Supporting Text Retrieval by Typographical Term Weighting
Chapter XII	-	Web Mining by Automatically Organizing Web Pages into Categories
Chapter XIII	-	Mining Matrix Pattern from Mobile Users
Section III - Information Systems and Modeling
Chapter XIV	-	Conceptual Modeling of Events for Active Information Systems
Chapter XV	-	Information Modeling and the Problem of Universals
Chapter XVI	-	Empirical Inference of Numerical Information into Causal Strategy Models by Means of Artificial Intelligence
Chapter XVII	-	Improving Mobile Web Navigation Using N-Grams Prediction Models
Section IV - Supply Chain Management
Chapter XVIII	-	Forecasting Supply Chain Demand Using Machine Learning Algorithms
Chapter XIX	-	Supporting Demand Supply Network Optimization with Petri Nets
Compilation of References