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Authors: Rômulo Oliveira 1 ; Herman Gomes 1 ; Alan Silva 2 ; Ig Bittencourt 2 and Evandro Costa 2

Affiliations: 1 Federal University of Campina Grande, Brazil ; 2 Federal University of Alagoas, Brazil

ISBN: 978-972-8865-44-3

Keyword(s): Trading agents, multi-agent architecture, cognitive models, machine learning.

Related Ontology Subjects/Areas/Topics: B2B, B2C and C2C ; B2C/B2B Considerations ; Business and Social Applications ; Case Studies ; Communication and Software Technologies and Architectures ; e-Business ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Simulation and Modeling ; Simulation Tools and Platforms ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; Web Information Systems and Technologies

Abstract: We propose a multi-agent based framework for supporting adaptive bilateral automated negotiation during buyer-seller agent interactions. In this work, these interactions are viewed as a cooperative game (from the idea of two-person game theory, nonzerosum game), where the players try to reach an agreement about a certain negotiation object that is offered by one player to another. The final agreement is assumed to be satisfactory to both parts. To achieve effectively this goal, we modelled each player as a multi-agent system with its respective environment. In doing so, we aim at providing an effective means to collect relevant information to help agents to make good decisions, that is, how to choose the “best way to play” among a set of alternatives. Then we define a mechanism to model the opponent player and other mechanisms for monitoring relevant variables from the player´ environment. Also, we maintain the context of the current game and keep the most relevant information of previous games. Additionally, we integrate all the information to be used in the refinement of the game strategies governing the multi-agent system. (More)

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Paper citation in several formats:
Oliveira R.; Gomes H.; Silva A.; Bittencourt I.; Costa E. and (2006). A MULTI-AGENT BASED FRAMEWORK FOR SUPPORTING LEARNING IN ADAPTIVE AUTOMATED NEGOTIATION.In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-972-8865-44-3, pages 153-158. DOI: 10.5220/0002452601530158

@conference{iceis06,
author={Rômulo Oliveira and Herman Gomes and Alan Silva and Ig Bittencourt and Evandro Costa},
title={A MULTI-AGENT BASED FRAMEWORK FOR SUPPORTING LEARNING IN ADAPTIVE AUTOMATED NEGOTIATION},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2006},
pages={153-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002452601530158},
isbn={978-972-8865-44-3},
}

TY - CONF

JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - A MULTI-AGENT BASED FRAMEWORK FOR SUPPORTING LEARNING IN ADAPTIVE AUTOMATED NEGOTIATION
SN - 978-972-8865-44-3
AU - Oliveira, R.
AU - Gomes, H.
AU - Silva, A.
AU - Bittencourt, I.
AU - Costa, E.
PY - 2006
SP - 153
EP - 158
DO - 10.5220/0002452601530158

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