Scope

BASYS'04 will address Information Technology for Balanced Automation Systems in Manufacturing and Services.
The focus of the conference will be to explore new challenges faced by the integration of Knowledge and
Technology as major drivers for business changes considering Product and Services Life Cycles.
BASYS'04 is the 6th of a series of conferences devoted to the advances of IT in the context of balanced
integration of automation and human involvement in manufacturing and services. Creating appropriate
frameworks for exploring the best synergies between humans and automated systems represents an enormous
challenge in terms of processes characterization, modelling, and development of adequate support tools.
Previous conferences took place in Victoria, Brazil (1995), Lisbon, Portugal (1996), Prague, Czech Republic
(1998), Berlin, Germany (2000), and Cancun, Mexico (2002).


Topics

The topics of interest include, but are not limited to:

Track A:

Multi-agent and holonic systems in manufacturing
Theoretical foundations
Architectures of holons and agents, design methodologies
Global open system architecture
Knowledge ontologies
MAS development tools
Agent-based system integration
Simulation tools
Reconfiguration tasks, real-time aspects
Standards and interoperability
Industrial applications & case studies

Track B:

Networked enterprises
Virtual organization / Virtual enterprise models
Infrastructures and support tools for VO / VE
Distributed business processes
Multi-agent approaches to VO
Inter-enterprise information systems and interoperability
Virtual laboratories and e-Science
Remote operation and supervision
Ubiquitous / pervasive / Grid computing
Social, ethical and legal issues
VO case studies and novel applications

Track C:

Integrated design and assembly
Structuring the assembly process
Cost models and management issues
Re-engineering / re-configurability approaches
System requirements specification tools
Human aspects and industrial cultures
Simulation and assessment
Integrative Design methodologies

Track D:

Machine learning and data mining in industry
Data mining and decision support
Text mining and link analysis
Processes and tools
Collaborative data mining
Pre-processing for machine learning and data mining
Machine learning in distributed environments
Application cases

The program will consist of plenary lectures, regular paper presentations, workshops, and invited sessions.
Proposals for invited sessions and associated workshops are welcome. The official language is English.