Foundations of distributed artificial intelligence
Foundations of distributed artificial intelligence
The Semantic Web: The Roles of XML and RDF
IEEE Internet Computing
DEVS Formalism: A Framework for Hierarchical Model Development
IEEE Transactions on Software Engineering
Case Studies of Four Industrial Meta-Applications
HPCN Europe '99 Proceedings of the 7th International Conference on High-Performance Computing and Networking
Negotiating for Software Services
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
DEVS-based simulation web services for net-centric T&E
Proceedings of the 2007 Summer Computer Simulation Conference
Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange
Ontologies for supporting negotiation in e-commerce
Engineering Applications of Artificial Intelligence
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Different negotiation engineering domains require the system designer to tailor the negotiation framework according to the domain under which it will be used. This process of system design is timely consuming when supporting different geographically distributed and dynamic environments. Here we show a methodology to design negotiation systems by integrating domain-dependent message structure ontology with domain-independent marketplace architecture. The methodology gives the system designers a powerful modeling tool that can be used to tailor the framework in order to support different negotiation behaviors under different domains. The system entity structure formalism is used to build the domain-dependent ontology while the finite deterministic discrete event system formalism is used to build the marketplace model. The discrete event system with service oriented architecture simulation environment was employed to demonstrate a proof of concept of applicability to web service domains.