A Novel Quantum Fuzzy Approach to Interpret Dilemmas of Game Theory

This work introduces an innovative approach from modeling to simulations, integrating quantum fuzzy interpretations, focusing on the expression of membership degrees in quantum circuits, interpreted as a unitary quantum transformation. Our research contrasts Quantum Fuzzy Computing with Classical Computing, particularly in the context of the prisoner's dilemma and parent-child relationships. Through the Qiskit framework, we conduct simulations, demonstrating the differences in results obtained by both approaches. Well-known fuzzy connectives, such as “exclusive or” and “arithmetic means”, provide an algebraic description for the corresponding composition of quantum operators and circuit representations. Thus, such algorithms can easily extend to model multiple agents' relationships, described by multidimensional quantum registers. The Qiskit simulations provide the structure for the algorithms' computation on the actual quantum platforms, indicating a promising direction for future research in this hybrid research area.

Authors

Institutions

Publication Details

Published
2024-08-12
DOI
https://doi.org/10.1109/clei64178.2024.10700212
Citations
3
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.04
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Quantum Fuzzy Approach to Interpret Dilemmas of Game Theory

Giancarlo Lucca, Hélida Santos, Renata Reiser, Cecília Botelho et al.
3 citations
Advanced Text Analysis Techniques
1.04
article

A Novel Quantum Fuzzy Approach to Interpret Dilemmas of Game Theory

Giancarlo Lucca, Hélida Santos, Renata Reiser, Cecília Botelho, Anderson Cruz, Adenauer Yamin
article en
3 citations

Abstract

This work introduces an innovative approach from modeling to simulations, integrating quantum fuzzy interpretations, focusing on the expression of membership degrees in quantum circuits, interpreted as a unitary quantum transformation. Our research contrasts Quantum Fuzzy Computing with Classical Computing, particularly in the context of the prisoner's dilemma and parent-child relationships. Through the Qiskit framework, we conduct simulations, demonstrating the differences in results obtained by both approaches. Well-known fuzzy connectives, such as “exclusive or” and “arithmetic means”, provide an algebraic description for the corresponding composition of quantum operators and circuit representations. Thus, such algorithms can easily extend to model multiple agents' relationships, described by multidimensional quantum registers. The Qiskit simulations provide the structure for the algorithms' computation on the actual quantum platforms, indicating a promising direction for future research in this hybrid research area.

Universidade Federal do Rio Grande (BR), Universidade Federal de Pelotas (BR), Universidade Federal do Rio Grande do Norte (BR)
Reduced inequalities
Openalex Percentile: Top 19%
Advanced Text Analysis Techniques
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.