ISBN Number:	3-906454-35-5
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Sunday, February 29, 2004
Keynote Talk
09.30 – 10.30	Multi-Agent Systems as an Integration Environment for Classical and AI Components

Workshops/Tutorial
11.00 – 13.00	Genetic Algorithms

Information Systems for Mass Customization (ISMC 2004)
11.10 – 11.35	Information System Design for Mass Customization – Integrating CRM and SCM

Product Configuration and Product Design (1)
11.35 – 12.00	Utilization of Graph Constellations for the Development of Customizable Product Spectra

12.00 – 12.25

Customer Communities to Support Product Configuration

12.25 – 12.50

Software Tools for Supported CAD-Modeling of Mass Customization Products

Tutorial
16.00 – 17.00	Learning from Data with Generalization Capability by Neural Networks and Kernel Methods

Product Configuration and Product Design (2)
17.15 – 17.40	A Modular Product Data Structuring Model Improves the Product Life Cycle Management of Service Products in the Telecommunications Industry

17.40 – 18.05

A Meta Model Based Configuration Approach for Mass-Customizable Products and Services

18.05 – 18.30

Logistic Process Model for Mass Customization in the Shoe Industry

Hybrid Algorithms for Function Approximation and Time Series Prediction
17.15 – 17.35	Connecting Geometric Independent Component Analysis to Unsupervised Learning Algorithms

17.35 – 17.55

Time Series Forecasting Based on Parallel Neural Network

17.55 – 18.15

Turkish Stock Market Analysis using Mixture of Experts

Hybrid System Applications
11.00 – 11.20	Modeling Natural Motivations into Hybrid Artificial Agents

11.20 – 11.40

Network-Based Intrusion Detection Using Unsupervised Adaptive Resonance Theory (ART)

11.40 – 12.00

Adaptive Clustering by ART2 Neural Networks

12.00 – 12.20

Evolutionary Strategies in Agile Facility Design

12.20 – 12.40

A Relational Theory of Interaction and Learning Based on Classifier System

12.40 – 13.00

On Learning from past experience as a Meta-Methodology for the Application on Self-Optimizing working Principles within Complex Hierarchical Mechatronic Systems

17.15 – 17.35

Discovering Fuzzy Classifiers by Genetic Algorithm

17.35 – 17.55

Compensatory Logic: A Fuzzy Approach to Decision Making

17.55 – 18.15

Heuristics and Metaheuristics Approaches used to Solve the Rural Postman Problem: A Comparative Case Study

18.15 – 18.35

Non-linear Prediction of Speech using ANFIS: Comparison with Neural Nets

18.35 – 18.55

Fuzzy Sources of Intranatal Risk Assessment: Preductal Oxygen Saturation and Pulse Oximetry Measurements

Intelligent Mobile Agents in Peer -to- Peer Networks
11.00 – 11.20	Usage of OpenPGP with Mobile Agents in Peer -to- Peer Networks

11.20 – 11.40

Semantic Web Services for Smart Devices Based on Mobile Agents

11.40 – 12.00

The Virtual Twin: A Socialization Agent for Peer-to-Peer Networks

12.00 – 12.20

PANDORA: an Open System of Cognitive Agents using Paraconsistent Logic

12.20 – 12.40

Mobile Agent Based Supply Chain Modeling With Neural Network Controlled Services

12.40 – 13.00

AGVENT: Agent Based Distributed Event System

17.15 – 17.35

XML Communicating Agents in the Rule Based Distributed Event System

17.35 – 17.55

A Proposal for a Equipments Repair System using Agents and Web Services

17.55 – 18.15

Developing a Distributed ERP System Based on Peer-to-Peer-Networks and Web Services

18.15 – 18.35

The WASP Framework ­ Bridging the Gap between the Web of Systems, The Web of Services and the Web of Semantics with Agent Technology

Monday March 01, 2004
Plenary Speech
09.00 – 10.00	Dynamic Vision' - Review and Outlook

Information Systems for Mass Customization (ISMC 2004)
11.10 – 11.35	Aspects of Customer Relation and Risk Management for the Concept of Mass Customization

11.35 – 12.00

An Advisory System for Customers' Objective needs Elicitation in Mass Customization

12.00 – 12.25

A Multi-Channel Interaction Platform for Mass Customization – Concept and Empirical Investigation'

12.25 – 12.50

Conceptual Foundations for Customer Relationship Management Systems with Special Consideration of the Financial Services Sector

Plenary Speech
16.00 – 17.00	Multi Purpose Server Platforms Based on Agent and P2P Technology

Manufacturing Modeling & Dynamic Systems
17.15 – 17.35	Bayesian Support Vector Regression for Tool Condition Monitoring and Feature Selection

17.35 – 17.55

A New Algorithm for Adaptive Modeling of Mechanical Systems

17.55 – 18.15

Studying the Quality of Resistance Spot Welding Joints Using Self-Organising Maps

Next Generation Vision Systems
10.30 – 10.50	Actor-Critic Models of Animal Control- A Critique of Reinforcement Learning

10.50 – 11.10

Processing Multi-Modal Primitives from Image Sequences

11.10 – 11.30

Putting Gestalt Laws at Work

11.30 – 11.50

Space Variant Filtering of Optic Flow for Robust Three Dimensional Motion Estimation

11.50 – 12.10

A Non-Local Stereo Similarity based on Collinear Groups

12.10 – 12.30

Recognizing Human Faces from Video

Robotics
17.15 – 17.35	Overtaking a Slower-Moving Vehicle by an Autonomous Vehicle

17.55 – 18.15

Man-Machine-Interaction and Co-Operation for Mobile and Assisting Robots

18.15 – 18.35

A New Approach in the Control Problem of a Binocular Head System

Evolutionary Computation and Neural Networks (ECNN)
10.30 – 11.00	Overview of ECNN Combinations

11.00 – 11.20

Artificial Life Optimization over Complex Networks

11.20 – 11.40

An Evolutionary Algorithmfor Manipulator Path Planning

11.40 – 12.00

Evolving Strategy for Game Playing

12.00 – 12.20

Advanced Evolutionary Design of Generalized Recurrent Neural Networks

12.20 – 12.40

Ensembles of Artificial Neural Networks with Heterogeneous Topologies'

12.40 – 13.00

A Lamarckian Model Combining Levenberg-Maquardt Algorithm and a Genetic Algorithm

17.15 – 17.35

Evolving Modular Neural Networks to Solve Challenging Control Problems

17.35 – 17.55

Hierarchical Evolutionary Algorithm in the Rule Extraction from Neural Network

17.55 – 18.15

Genetic Algorithms with Fitness & Diversity –Guided Adaptive Operating Probabilities and Analyses of its Convergence

18.15 – 18.35

Open Discussion: 'The Future of ECNN Combinations'

Standard Components and Activities in the Engineering of Intelligent Systems
10.30 – 10.50	Machine-Assisted Learning: Enhancing Evolutionary Rules Extraction Algorithm with Expert Knowledge

10.50 – 11.10

The DTP Model: Integration of Intelligent Techniques for the Decision Support in Healthcare Assistance

11.10 – 11.30

Intelligent System to Assess and Treat Developmental Dyslexia in Spanish Language

11.30 – 11.50

System Design for Classification Process

11.50 – 12.10

Data Policy for Increasing the Data Quality in Intelligent Systems

12.10 – 12.30

Higher-Order Mobile Agents for Controlling Intelligent Robots

12.30 – 12.50

GRID Technology for Intelligent Systems and Data Mining

17.15 – 17.35

Model-Based Door Localization for Corridor Navigation

17.35 – 17.55

An Adaptive Method for Map Reconstruction

Tuesday, March 02, 2004
Plenary Speech
09.00 – 10.00	The Road to Mass Customization - Bridging the Gap from Concept to Reality

Knowledge Representation, Decision Support & Expert Systems
10.30 – 10.50	Image Incorporated Mammogram and Ultrasound Based Expert System For Breast Diseases

10.50 – 11.10

An Analysis of Association Rule Mining Algorithms

11.10 – 11.30

Dynamic Itemset Counting in PC Cluster Based Association Rule Mining

11.30 – 11.50

Optimisation of Pattern Mining : A New Method Founded on Database Transposition

11.50 – 12.10

A Comparison of Two Methods to Establish Drug-reaction Relationships in the ADRAC Database

12.10 - 12.30

Ease– A Software Agent That Extracts Financial Data from the Sec's Edgar Database

12.30 – 12.50

MML-based Compressive Models for Musical Melody

Plenary Speech
16.00 – 17.00	The Art Of Building Decision Trees in the Medical Domain

Knowledge Representation, Decision Support & Expert Systems
17.15 – 17.35	Local Estimate of Distribution Mapping Exponent for Classification of Multivariade Data

17.35 – 17.55

Abnormal Data Formats Identification and Resolution on Data Warehousing Populating Process

17.55 – 18.15

Fast Efficient Association Rule Mining from Web Data

Image Processing & Computer Vision
10.30 – 10.50	Ovarian Ultrasound Image Enhancement By Pseudocolouring

10.50 – 11.10

Pulsed Neural Networks for Feature Detection using Dynamic Synapses

11.10 – 11.30

Automatic Denoising using Local Independent Component Analysis

11.30 – 11.50

Human Presence Detection by Smart Devices

11.50 – 12.10

Mutual Information Restoration of Multispectral Images Using A Generalized Neighborhood Operation

Neural Networks & Fuzzy Systems
12.10 – 12.30	Perceptron Learning versus Support Vector Machines

12.30 – 12.50

Classification of Recorded Classical Music Using Neural Networks

17.15 – 17.35

Artificial Neural Networks for Harmonic Estimation in Low-Voltage Power Systems

17.35 – 17.55

A Derivative-Free Kalman Filter for Parameter Estimation of Recurrent Neural Networks and Its Applications to Nonlinear Channel Equalization

17.55 – 18.15

Predicting the Morphology of Arbitrary Dendritic Trees through Simulated Annealing

Manufacturing Modeling & Dynamic Systems
10.30 – 10.50	Reverse AdaBoost Algorithm to do Segmental Linear Regression

10.50 – 11.10

Application of Queueing Theory to Real-Time Systems with Shortage of Maintenance Teams

11.10 – 11.30

Teleworking – The Potential Scope of Implementation in Manufacturing Company

11.30 – 11.50

Fuzzy Approach to Risk Assessment in the Crisis Management Systems

Multi-Agent Systems
11.50 – 12.10	Efficient 1-Bit-Communication Synchronization Protocols for Cellular Automata

12.10 – 12.30

Knowledge Communication for Intelligent, Mechatronic Agents

12.30 – 12.50

Enhancing the Effectiveness of Simple Multi-Agent Systems Through Stigmergic Coordination

17.15 – 17.35

Obsage - An Agent-based Model of Observational Learning

17.35 – 17.55

An Experimental Collective Intelligence Research Tool

17.55 – 18.15

Modelling Malaria with Multi-Agent Systems

18.15 – 18.35

Mobile Intelligent Agents in Erlang

18.35 – 18.55

Application of Multi-Agent Technology to Fault Diagnosis of Power Distribution Systems

Mini-Symposia: Computational Medicine Building & Applying Intelligent Systems in Health
10.30 – 10.50	Application of Soft Systems Methodology in Waiting Line in Public Hospitals of Brazil

10.50 – 11.10

Lessons Learned from Development of Decision-Support Systems

11:10 - 11:30

Rule Discovery from Medical Data Using Genetic Algorithm

11:30 - 11:50

Symbolic Approach to Unsupervised Learning

11:50 - 12:10

How can we Benefit from Application of Intelligent Systems in Cardiology

12:10 - 12:30

Discovering Dependencies in Medical Data by Visualisation

12.30 – 12.50

To Combine or not Combine: Integration of Rough Sets in Multimethod Approach?

17.15 – 17.35

Boosting the Medical Knowledge Infrastructure — A Feasibility Study on Very Large Terminological Knowledge Bases

17.35-17.55

A Hybrid Model-Based ReasoningVentilatory Decision Support System