An environment for developing smart electronic negotiators

• Rômulo Nunes UFAL
• Alan Silva UFAL
• Ig Bittencourt UFAL
• Evandro Costa UFAL
• Camila Nunes UFAL

DOI: https://doi.org/10.5753/sbsi.2006.14722

Abstract

Automated negotiation process is a hot research topic in AI applied to e-commerce. Particularly, one of the problems concerning the design of negotiation agents is to enclow them with learning and adaptation capabilities in order to face the dynamism often required by negotiation processes. This work proposes an environment for building intelligent agents capable of negotiating and learning. Experiments were done in order to demonstrate the feasibility of the proposed environment. The experiments show that the agents learned during the interaction process according to the used techniques: Neural networks, Q-learning, Rule-based Reasoning and Case-based Reasoning.

Keywords: Development, Trading, Intelligent Electronics

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