The synthesis of digital machines with provable epistemic properties
Proceedings of the 1986 Conference on Theoretical aspects of reasoning about knowledge
Intention is choice with commitment
Artificial Intelligence
Computational Intelligence
Intelligence without representation
Artificial Intelligence
The agent network architecture (ANA)
ACM SIGART Bulletin
A conceptual structure and issues for an object-oriented bill of materials (BOM) data model
Computers and Industrial Engineering - Special issue on reverse engineering in industry: research issues and applications
A procedure-oriented generic bill of materials
Computers and Industrial Engineering
An introduction to software agents
Software agents
Putting the enterprise into the enterprise system
Harvard Business Review
Computer science as empirical inquiry: symbols and search
Communications of the ACM
E-Business and ERP: Rapid Implementation and Project Planning
E-Business and ERP: Rapid Implementation and Project Planning
Coordination of Distributed Problem Solvers
Coordination of Distributed Problem Solvers
A Deduction Model of Belief
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
ExPlanTech: Exploitation of Agent-Based Technology in Production Planning
Proceedings of the 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 on Multi-Agent-Systems and Applications II-Selected Revised Papers
Issues of mass customisation and supporting IT-solutions
Computers in Industry
Applying case-based reasoning for product configuration in mass customization environments
Expert Systems with Applications: An International Journal
WSEAS Transactions on Computers
Segmenting and mining the ERP users' perceived benefits using the rough set approach
Expert Systems with Applications: An International Journal
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Due to market conditions many production system begin to follow customer-oriented philosophy which leads to Mass Customisation Systems. Mass Customisation provides a framework for producers to produce a variety of products which are individually designed for each customer. Therefore, it requires dealing with an explosive number of product variations and customer orders and increases the complexity of activities. This paper provides a guideline on how intelligent agent technologies can be employed to deal with these complex issues.