Hierarchical Heuristic Collaborative Adaptive Explainable Decisioning (HHCA-XAD) Article Swipe

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Zhang Jincheng ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.5281/zenodo.17853072

With the widespread application of artificial intelligence in finance, healthcare, law, and industrial management, automated decision-making systems have become crucial decision support tools. However, traditional automated decision-making systems often rely on complex models, such as deep neural networks or ensemble models, leading to a "black box" problem where the decision-making process is difficult to understand. Explainable Automated Decisioning (XAD) aims to provide transparent and understandable decision-making basis while ensuring accuracy, thereby enhancing system credibility and user trust. This paper proposes a Hierarchical Heuristic Collaborative Adaptive Explainable Decisioning (HHCA-XAD) algorithm. This algorithm innovatively introduces a multi-layered heuristic collaborative mechanism, an interpretability feedback loop, and a multi-objective joint optimization method to achieve a deep integration of automated decision-making and interpretable information. The algorithm generates multi-dimensional explanatory information through a feature contribution interpretability matrix and adaptively adjusts heuristic weights and model parameters through explanation feedback, thereby optimizing decision performance and explanation quality. This paper details the algorithm's theoretical framework, mathematical formulas, and process design, providing a systematic theoretical foundation for future explainable automated decision-making systems.

Related Topics

Computer Science

Heuristic

Artificial Intelligence

Decision Support System

Concepts

Interpretability Computer science Heuristic Artificial intelligence Machine learning Process (computing) Credibility Feature (linguistics) Artificial neural network Heuristics Data mining Adaptive system Decision support system A priori and a posteriori Basis (linear algebra)

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Type: preprint
Landing Page: https://doi.org/10.5281/zenodo.17853072
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OpenAlex ID: https://openalex.org/W7111282337

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DOI: https://doi.org/10.5281/zenodo.17853072

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Title: Hierarchical Heuristic Collaborative Adaptive Explainable Decisioning (HHCA-XAD)

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Publication year: 2025

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Publication date: 2025-12-08

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Authors: Zhang Jincheng

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Landing page: https://doi.org/10.5281/zenodo.17853072

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Concepts: Interpretability, Computer science, Heuristic, Artificial intelligence, Machine learning, Process (computing), Credibility, Feature (linguistics), Artificial neural network, Heuristics, Data mining, Adaptive system, Decision support system, A priori and a posteriori, Basis (linear algebra)

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