Knowledge and Information Systems

, Volume 55, Issue 3, pp 633–669 | Cite as

Dynamic argumentation in UbiGDSS

  • João Carneiro
  • Diogo Martinho
  • Goreti Marreiros
  • Amparo Jimenez
  • Paulo Novais
Regular Paper

Abstract

Supporting and representing the group decision-making process is a complex task that requires very specific aspects. The current existing argumentation models cannot make good use of all the advantages inherent to group decision-making. There is no monitoring of the process or the possibility to provide dynamism to it. These issues can compromise the success of group decision support systems if those systems are not able to provide freedom and all necessary mechanisms to the decision-maker. We investigate the use of argumentation in a completely new perspective that will allow for a mutual understanding between agents and decision-makers. Besides this, our proposal allows to define an agent not only according to the preferences of the decision-maker but also according to his interests towards the decision-making process. We show that our definition respects the requirements that are essential for groups to interact without limitations and that can take advantage of those interactions to create valuable knowledge to support more and better.

Keywords

Argumentation Automatic negotiation Multi-agent systems Group decision support systems Ubiquitous computing 

Notes

Acknowledgements

This paper is a revised and an expanded version of a paper entitle “Introducing Dynamic Argumentation to UbiGDSS” presented at International Conference on Distributed Computing and Artificial Intelligence 2016, Seville, Spain [10]. This work has been supported by COMPETE Programme (operational programme for competitiveness) within project POCI-01-0145-FEDER-007043, by National Funds through the FCT—Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within the Projects UID/CEC/00319/2013, UID/EEA/00760/2013, and the João Carneiro Ph.D. grant with the reference SFRH/BD/89697/2012.

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Copyright information

© Springer-Verlag London Ltd. 2017

Authors and Affiliations

  1. 1.GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Institute of EngineeringPolytechnic of PortoPortoPortugal
  2. 2.ALGORITMI CentreUniversity of MinhoGuimarãesPortugal
  3. 3.Universidad Pontificia de SalamancaSalamancaSpain

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