Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations
Contemporary machine learning (ML) systems excel in recognising and classifying images with remarkable accuracy. However, like many computer software systems, they can fail by generating confusing or erroneous outputs or by deferring to human operators to interpret the results and make final decisio...
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| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Big Data and Cognitive Computing |
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| Online Access: | https://www.mdpi.com/2504-2289/9/1/12 |
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| author | Milan Maksimovic Ivan S. Maksymov |
| author_facet | Milan Maksimovic Ivan S. Maksymov |
| author_sort | Milan Maksimovic |
| collection | DOAJ |
| description | Contemporary machine learning (ML) systems excel in recognising and classifying images with remarkable accuracy. However, like many computer software systems, they can fail by generating confusing or erroneous outputs or by deferring to human operators to interpret the results and make final decisions. In this paper, we employ the recently proposed quantum tunnelling neural networks (QT-NNs) inspired by human brain processes alongside quantum cognition theory to classify image datasets while emulating human perception and judgment. Our findings suggest that the QT-NN model provides compelling evidence of its potential to replicate human-like decision-making. We also reveal that the QT-NN model can be trained up to 50 times faster than its classical counterpart. |
| format | Article |
| id | doaj-art-009b099159884b5684075ea349da14c8 |
| institution | Kabale University |
| issn | 2504-2289 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Big Data and Cognitive Computing |
| spelling | doaj-art-009b099159884b5684075ea349da14c82025-01-24T13:22:33ZengMDPI AGBig Data and Cognitive Computing2504-22892025-01-01911210.3390/bdcc9010012Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making SimulationsMilan Maksimovic0Ivan S. Maksymov1Artificial Intelligence and Cyber Futures Institute, Charles Sturt University, Bathurst, NSW 2795, AustraliaArtificial Intelligence and Cyber Futures Institute, Charles Sturt University, Bathurst, NSW 2795, AustraliaContemporary machine learning (ML) systems excel in recognising and classifying images with remarkable accuracy. However, like many computer software systems, they can fail by generating confusing or erroneous outputs or by deferring to human operators to interpret the results and make final decisions. In this paper, we employ the recently proposed quantum tunnelling neural networks (QT-NNs) inspired by human brain processes alongside quantum cognition theory to classify image datasets while emulating human perception and judgment. Our findings suggest that the QT-NN model provides compelling evidence of its potential to replicate human-like decision-making. We also reveal that the QT-NN model can be trained up to 50 times faster than its classical counterpart.https://www.mdpi.com/2504-2289/9/1/12artificial intelligencemachine learningneural networksquantum tunnellinguncertainty |
| spellingShingle | Milan Maksimovic Ivan S. Maksymov Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations Big Data and Cognitive Computing artificial intelligence machine learning neural networks quantum tunnelling uncertainty |
| title | Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations |
| title_full | Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations |
| title_fullStr | Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations |
| title_full_unstemmed | Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations |
| title_short | Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations |
| title_sort | quantum cognitive neural networks assessing confidence and uncertainty with human decision making simulations |
| topic | artificial intelligence machine learning neural networks quantum tunnelling uncertainty |
| url | https://www.mdpi.com/2504-2289/9/1/12 |
| work_keys_str_mv | AT milanmaksimovic quantumcognitiveneuralnetworksassessingconfidenceanduncertaintywithhumandecisionmakingsimulations AT ivansmaksymov quantumcognitiveneuralnetworksassessingconfidenceanduncertaintywithhumandecisionmakingsimulations |