A framework for the consensus decision-making based on arguments and common knowledge formation

Autores

  • Ayslan Trevizan Possebom Instituto Federal do Paraná / Universidade Tecnológica Federal do Paraná
  • Mariela Morveli-Espinoza Universidade Tecnológica Federal do Paraná
  • Cesar Augusto Tacla Universidade Tecnológica Federal do Paraná

DOI:

https://doi.org/10.4025/actascitechnol.v41i1.37955

Palavras-chave:

dialogue, argumentation, formal logic, agents.

Resumo

 In an argumentative dialogue, agents exchange arguments to approve or disapprove a decision alternative. The problem arises when a group of agents with incomplete information needs to reach consensus on the decision. This study proposes a framework for decision-making where the argumentative agents can build the necessary common knowledge to make a decision based on every formula of the exchanged arguments. Each formula receives votes indicating either support or rejection. When a formula receives more supporting votes than rejection ones, that is, it is accepted by the majority, it becomes common knowledge. In this case, there is a consensus about that information, which influences the strength of the argument comprising the formula. The framework for decision-making permits to analyze the arguments related to every decision alternative and rank them based on the strength of the arguments. This framework is an alternative for existing ones based on preferences expressed by numerical values, allowing agents to explain the rationale behind the decisions.

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Biografia do Autor

Ayslan Trevizan Possebom, Instituto Federal do Paraná / Universidade Tecnológica Federal do Paraná

Bacharelado em Sistemas de Informação (UNIPAR Paranavaí­), Mestrado em Ciência da Computação (UEM), Doutorando em Engenharia Elétrica e Informática Industrial (UTFPR Curitiba).

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Publicado

2019-05-29

Como Citar

Possebom, A. T., Morveli-Espinoza, M., & Tacla, C. A. (2019). A framework for the consensus decision-making based on arguments and common knowledge formation. Acta Scientiarum. Technology, 41(1), e37955. https://doi.org/10.4025/actascitechnol.v41i1.37955

Edição

Seção

Ciência da Computação

 

0.8
2019CiteScore
 
 
36th percentile
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0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus