Using and evaluating adaptive agents for electronic commerce negotiation

• Tipo: Artigo em Revista Científica Internacional
• Data: 2000

Autores

Henrique Lopes Cardoso (Autor) FEUP; Eugénio Oliveira (Autor) FEUP

Revista

Título: Lecture Notes in Computer Science

Vol. 1952

Páginas: 96-105

ISSN: 0302-9743

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 8 Citações

Scopus - 18 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia de computadores

Outras Informações

ID Authenticus: P-001-12K

DOI: 10.1007/3-540-44399-1_11

Abstract (EN): Agent technology has been applied to the Electronic Commerce domain, giving birth to what is known as agent-mediated Electronic Commerce. Current real-world applications refer only to the delegation of product or merchant brokering tasks to software agents. Automated negotiation is a less explored stage in this field, since it implies the trust of bargaining power to software agents. We here present SMACE, a layered platform for agent-mediated Electronic Commerce, supporting multilateral and multi-issue automated negotiations. In this system, the negotiation infrastructure through which the software agents interact is independent from their negotiation strategies. SMACE has been used to test several negotiation strategies. The system includes agents that are capable of increasing their performance with their own experience, by adapting to the market conditions. This adaptation is reached through the use of Reinforcement Learning techniques. In order to test the agents' adaptation process, several different experiments have been tried out, and the respective results are here reported. These results allow us to conclude that it is possible to build negotiation strategies that can outperform others in some environments. In fact, knowledge gathered about past negotiations can be a strategic advantage in some scenarios.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10