Authors:
Cecília Botelho
1
;
Larissa Schonhofen
1
;
Helida Santos
2
;
Giancarlo Lucca
3
;
Adenauer Yamin
1
and
Renata Reiser
1
Affiliations:
1
Federal University of Pelotas, LUPS, Pelotas, RS, Brazil
;
2
Federal University of Rio Grande, C3, Rio Grande, RS, Brazil
;
3
Catholic University of Pelotas, PGEEC, Pelotas, RS, Brazil
Keyword(s):
Quantum Computing, Fuzzy Systems, Emotion Modeling, Parent-Child Interaction, Qiskit.
Abstract:
This study presents an integrated framework combining Quantum Fuzzy computing concepts with emotion modeling and simulations of intelligent agents. It explores the distinctions between Quantum Fuzzy and Classical Computing, focusing on parent-child relationships. Simulations performed on the Qiskit platform highlight significant differences in the results produced by these two approaches. The research emphasizes how membership degrees(MD) are represented in the quantum circuit model by interpreting fuzzy operations through unitary quantum transformations. Established fuzzy connectives, such as the exclusive OR, serve as an algebraic basis for constructing quantum operators and circuit representations. The algorithms demonstrate substantial potential for extension, allowing for modeling interactions among multiple agents using multidimensional quantum registers. Simulations within Qiskit offer a solid foundation for implementing these algorithms on real quantum platforms, paving the w
ay for further exploration in this interdisciplinary field.
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