Abstract
Classical approaches to traders in middleware rely on a common language of server, clients, and traders to understand each other. In these systems, pre-defined ontologies play a crucial role. But when dealing with large-scale, open systems such ontologies are no longer available. To cope with this problem, we have developed a radically different approach to trading. Rather than relying 100% on a trader, we assume that traders provide only rough matches and that clients need to make intelligent choices to find a more suited service. To this end, we introduce the notion of trust, which evolves with the client’s experience. We implement a simulation of this trust-based trading system and run several test scenarios investigating the use of history and dynamic trust to discover the more suited services. Our analysis and simulation 1 indicate that intelligent clients and rough traders may considerably extend the scope of trading towards large-scale, open distributed systems.
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Schroeder, M., McCann, J., Haynes, D. (2001). Trading without Explicit Ontologies. In: Dignum, F., Cortés, U. (eds) Agent-Mediated Electronic Commerce III. AMEC 2000. Lecture Notes in Computer Science(), vol 2003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44723-7_8
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DOI: https://doi.org/10.1007/3-540-44723-7_8
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