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An agent-based approach to support decisions on electronic marketplaces

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Orientador(es)

Resumo(s)

With the increasing importance of Electronic Commerce across the Internet the need for software agents to support both customers and suppliers in buying and selling goods/services is growing rapidly. It is becoming increasingly evident that in a few years the Internet will host a large number of interacting software agents. Most of them will be economically motivated, and will negotiate a variety of goods and services. It is therefore important to consider the economic incentives and behaviours of economic software agents, and to use all available means to anticipate their collective interactions. This paper addresses this concern by presenting a Market Simulator designed for analysing agent market strategies based on a complete understanding of buyer and seller behaviours, preference models and pricing algorithms. The system includes agents that are capable of increasing their performance with their own experience, by adapting to the market conditions. The results of the negotiations between agents will be analysed by Data mining tools in order to extract rules that will give the agents feedback to improve their strategies. We will describe the characteristics and technologies involved in the architecture we are specifying and developing.

Descrição

Palavras-chave

Intelligent agents Electronic Marketplaces Dynamic agent strategies Decision-Making Recommender systems

Contexto Educativo

Citação

Viamonte, M. J., Ramos, C., Rodrigues, F. & Cardoso, J. (2004, July 21-23) An agent-based approach to support decisions on electronic marketplaces. In Ramos, C. & Vale, Z. (Eds) Proceedings of the International Conference of Knowledge Engineering and Decision Support, ICKEDS´04. (pp. 115-122). Porto. Portugal

Projetos de investigação

Unidades organizacionais

Fascículo

Editora

Knowledge Engineering and Decision Support Research Group - GECAD

Licença CC

Sem licença CC