Exploring Social Decision Models Through Quantum Fuzzy Approaches
This study introduces an innovative quantum fuzzy approach for modeling and simulating complex decision-making processes, utilizing quantum circuits to express membership degrees as unitary transformations. We contrast Quantum Fuzzy Computing with Classical Computing, highlighting advancements in modeling the prisoner's dilemma. Using the Qiskit framework, we demonstrate how quantum fuzzy algorithms featuring connectives such as ‘exclusive or’ and ‘arithmetic mean’ enable detailed modeling of multi-agent relationships via multidimensional quantum registers, showcasing potential advancements in this hybrid research area.
Authors
- Juliano Buss (ORCID: https://orcid.org/0009-0006-3862-5104)
- Giancarlo Lucca (ORCID: https://orcid.org/0000-0002-3776-0260)
- Hélida Santos (ORCID: https://orcid.org/0000-0003-2994-2862)
- Renata Reiser (ORCID: https://orcid.org/0000-0001-9934-3115)
- Cecília Botelho (ORCID: https://orcid.org/0000-0002-2167-7139)
- Anderson Cruz (ORCID: https://orcid.org/0000-0003-1505-352X)
- Adenauer Yamin (ORCID: https://orcid.org/0000-0002-7333-244X)
Institutions
- Universidade Federal do Rio Grande (BR)
- Universidade Federal de Pelotas (BR)
- Universidade Federal do Rio Grande do Norte (BR)
Publication Details
- Published
- 2024-10-06
- DOI
- https://doi.org/10.1109/smc54092.2024.10831576
- Citations
- 4
- Primary Topic
- Advanced Text Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul