On Laws of Thought: A Quantum-like Machine Learning Approach

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@Article{xin:2023:Entropy,

• author = "Lizhi Xin and Kevin Xin and Houwen Xin",
• title = "On Laws of Thought: A Quantum-like Machine Learning Approach",
• journal = "Entropy",
• year = "2023",
• volume = "25",
• number = "8",
• pages = "Article No. 1213",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "1099-4300",
• URL = "https://www.mdpi.com/1099-4300/25/8/1213",
• DOI = "doi:10.3390/e25081213",
• abstract = "Incorporating insights from quantum theory, we propose a machine learning-based decision-making model, including a logic tree and a value tree; a genetic programming algorithm is applied to optimise both the logic tree and value tree. The logic tree and value tree together depict the entire decision-making process of a decision-maker. We applied this framework to the financial market, and a {"}machine economist{"} is developed to study a time series of the Dow Jones index. The {"}machine economist{"} will obtain a set of optimised strategies to maximize profits, and discover the efficient market hypothesis (random walk).",
• notes = "also known as \cite{e25081213}",

}

Genetic Programming entries for Lizhi Xin Kevin Xin Houwen Xin

Citations