Partial Probability of Mohamedou DEBAGH: A New Mathematical Approac

Authors

  • Mohamedou DEBAGH Technologist Instructor, Department of Computer Networks & Telecommunications Polytechnic School (ESP), Nouakchott, Mauritania

DOI:

https://doi.org/10.32996/jmss.2025.6.2.2

Keywords:

Partial probability, Modeling, Complex systems, Decision, Artificial intelligence, Decision theory, Multi-agent systems

Abstract

The partial probability approach, proposed by Mohamedou Debagh, explores a new way of modeling events as probabilities, using a hierarchical and recursive decomposition. This approach allows for the consideration of information internal to each event, thus providing increased flexibility in contexts where events are complex or partially known. The article presents the underlying theoretical principles, the fundamental properties of the model, as well as potential applications in fields such as artificial intelligence, decision theory, and multi-agent systems.

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Published

2025-05-07

Issue

Section

Research Article

How to Cite

Mohamedou DEBAGH. (2025). Partial Probability of Mohamedou DEBAGH: A New Mathematical Approac. Journal of Mathematics and Statistics Studies, 6(2), 18-19. https://doi.org/10.32996/jmss.2025.6.2.2