What question did this study set out to answer?

The central aim is to introduce Mindful Machines as a novel architecture for AI that addresses coherence issues.

December 10, 2025ComputersOpen Access

From Static Prediction to Mindful Machines: A Paradigm Shift in Distributed AI Systems

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The central aim is to introduce Mindful Machines as a novel architecture for AI that addresses coherence issues.
Validated design on the Credit Default Prediction problem
Compared traditional logistic regression with a Mindful Machine implementation
Utilized knowledge graphs and a self-healing architecture for runtime flexibility
Mindful Machines achieved matching predictive performance compared to logistic regression
Demonstrated self-healing services and real-time adaptation
Achieved explainability through causal audit trails

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Implication

This paper demonstrates how Mindful Machines improve coherence and adaptability in AI, validating performance on Credit Default Prediction using logistic regression and machine learning.

Cite This Study

Mikkilineni et al. (2025) studied this question.

synapsesocial.com/papers/69401d412d562116f28f833c https://doi.org/10.3390/computers14120541

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Implication

This paper demonstrates how Mindful Machines improve coherence and adaptability in AI, validating performance on Credit Default Prediction using logistic regression and machine learning.

From Static Prediction to Mindful Machines: A Paradigm Shift in Distributed AI Systems

Key Points

Discussion

Implication

Cite This Study

From Static Prediction to Mindful Machines: A Paradigm Shift in Distributed AI Systems

Key Points

Discussion

Implication

Cite This Study

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