Rough traders and intelligent clients

Classical approaches to traders in middleware rely on a common language of server, clients, and traders to underst and each other. In these systems, pre-defined ontologies play a cru cial role. But when dealing with large-scale, open systems such on tologies 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 pr ovide only rough matches and that clients need to make intelli gent choices to find a more suited service. To this end, we introdu ce the notion of trust, which evolves with the client’s experience. We implement a simulation of this trust-based trading system and r un several test scenarios investigating the use of history and dyna mic trust to discover the more suited services. Our analysis and simulation indicate that intelligent clients and rough traders may considerably extend the scope of trading towards la rge-scale, open distributed systems.

[1]  Rajesh Raman,et al.  Matchmaking: distributed resource management for high throughput computing , 1998, Proceedings. The Seventh International Symposium on High Performance Distributed Computing (Cat. No.98TB100244).

[2]  Valérie Issarny,et al.  Achieving middleware customization in a configuration-based development environment: experience with the Aster prototype , 1998, Proceedings. Fourth International Conference on Configurable Distributed Systems (Cat. No.98EX159).

[3]  Hyacinth S. Nwana,et al.  2 Multi-Agent Systems : Promises and Reality , 1999 .

[4]  Catholijn M. Jonker,et al.  Formal Analysis of Models for the Dynamics of Trust Based on Experiences , 1999, MAAMAW.

[5]  Katia P. Sycara,et al.  Middle-Agents for the Internet , 1997, IJCAI.

[6]  M. F.,et al.  Bibliography , 1985, Experimental Gerontology.

[7]  Patty Kostkova,et al.  MAGNET: a virtual shared tuplespace resource manager , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[8]  G. Elofson.  Developing Trust with Intelligent Agents: An Exploratory Study , 2001 .

[9]  F. Gudermann,et al.  AI-based Trading in Open Distributed Environments , 1995 .

[10]  Robert C. Seacord,et al.  AGORA: A Search Engine for Software Components , 1998, IEEE Internet Comput..