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The Effect of Decision Satisfaction Prediction in Argumentation-Based Negotiation

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Abstract

Supporting group decision-making is a complex process, especially when decision-makers have no opportunity to gather at the same place and at the same time. Besides that, finding solutions may be difficult in case representing agents are not able to understand the process and support the decision-maker accordingly. Here we propose a model and an algorithm that will allow the agent to analyse tendencies. This way we intend that agents can achieve decisions with more quality and with higher levels of consensus. Our model allows the agent to redefine his objectives to maximize both his and group satisfaction. Our model proved that agents that use it will obtain higher average levels of consensus and satisfaction. Besides that, agents using this model will obtain those higher levels of consensus and satisfaction in most of the times compared to agents that do not use it.

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Acknowledgements

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 PhD grant with the reference SFRH/BD/89697/2012 and by Project MANTIS - Cyber Physical System Based Proactive Collaborative Maintenance (ECSEL JU Grant nr. 662189).

Author information

Authors and Affiliations

  1. GECAD – Knowledge Engineering and Decision Support Group, Institute of Engineering – Polytechnic of Porto, Porto, Portugal

    João Carneiro, Diogo Martinho & Goreti Marreiros

  2. ALGORITMI Centre, University of Minho, Braga, Portugal

    João Carneiro & Paulo Novais

Authors
  1. João Carneiro

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  2. Diogo Martinho

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  3. Goreti Marreiros

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  4. Paulo Novais

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Corresponding author

Correspondence toJoão Carneiro.

Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. Universidad de Sevilla, Sevilla, Spain

    María José Escalona

  3. Faculté des Sciences, Université de Sherbrooke, Sherbrooke, Canada

    Sylvain Giroux

  4. University of Poznan, Poznan, Poland

    Patrycja Hoffa-Dąbrowska

  5. Universidad Politécnica de Valencia, Valencia, Spain

    Vicente Julián

  6. Department of Informatics, Universidade do Minho, Braga, Portugal

    Paulo Novais

  7. Fluminense Federal University, Rio de Janeiro, Brazil

    Nayat Sánchez-Pi

  8. Inst. Comp. Sci. & Bus. Info. Sys. (ICB), University of Duisburg-Essen, Essen, Nordrhein-Westfalen, Germany

    Rainer Unland

  9. Departamento de Informática e Estatístic, Universidade Federal de Santa Catarina, Florianópolis S.C.,, Brazil

    Ricardo Azambuja-Silveira

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© 2016 Springer International Publishing Switzerland

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Carneiro, J., Martinho, D., Marreiros, G., Novais, P. (2016). The Effect of Decision Satisfaction Prediction in Argumentation-Based Negotiation. In: Bajo, J.,et al. Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection. PAAMS 2016. Communications in Computer and Information Science, vol 616. Springer, Cham. https://doi.org/10.1007/978-3-319-39387-2_22

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