A Multi-agent System for Electronic Commerce Including Adaptive Strategic Behaviours

  • Henrique Lopes Cardoso
  • Max Schaefer
  • Eugénio Oliveira
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1695)

Abstract

This work is primarily based on the use of software agents for automated negotiation. We present in this paper a test-bed for agents in an electronic marketplace, through which we simulated different scenarios allowing us to evaluate different agents’ negotiation behaviours. The system follows a multi-party and multi-issue negotiation approach. We tested the system by comparing the performance of agents that use multiple tactics with ones that include learning capabilities based on a specific kind of Reinforcement Learning technique. First experiments showed that the adaptive agents tend to win deals over their competitors as their experience increases.

Keywords

Electronic Commerce Weighted Combination Negotiation Protocol Negotiation Model Seller Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Henrique Lopes Cardoso
    • 1
  • Max Schaefer
    • 1
  • Eugénio Oliveira
    • 1
  1. 1.Faculdade de EngenhariaUniversidade do Porto, NIAD&R-LIACCPorto CodexPortugal

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