Artificial Intelligence in Theory and Practice II: IFIP 20th World Computer Congress, TC 12: IFIP AI 2008 Stream, September 7-10, 2008, Milano, Italy

The papers in this volume comprise the refereed proceedings of the conference ‘ Artificial Intelligence in Theory and Practice’ (IFIP AI 2008), which formed part of the 20th World Computer Congress of IFIP, the International Federation for Information Processing (WCC-2008), in Milan, Italy in September 2008. The conference is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). All papers were reviewed by at least two members of our Program Committee. Final decisions were made by the Executive Program Committee, which comprised John Debenham (University of Technology, Sydney, Australia), Ilias Maglogiannis (University of Aegean, Samos, Greece), Eunika Mercier-Laurent (KIM, France) and myself. The best papers were selected for the conference, either as long papers (maximum 10 pages) or as short papers (maximum 5 pages) and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here. The conference also featured invited talks by Prof. Nikola Kasabov (Auckland University of Technology, New Zealand) and Prof. Lorenza Saitta (University of Piemonte Orientale, Italy). I should like to thank the conference chair, John Debenham for all his efforts and the members of our program committee for reviewing papers to a very tight deadline.

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