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Conditional Event Algebra (CEA) is a novel approach for quantifying probabilistic uncertainty in rule-based systems. It has been investigated by I.R. Goodman and Hung T. Nguyen (1994) to provide a rigorous calculus of uncertain conditionals (uncertain rules in systems, ML, AI) but not very well known in research communities. As such, this paper is somewhat like a tutorial on the development of CEA for probability reasoning in intelligent systems.

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On Conditional Event Algebra for Probability Reasoning in System Design

  • 会议论文

  • 发表日期：

    2025年

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  • Hung T. Nguyen

摘要

Conditional Event Algebra (CEA) is a novel approach for quantifying probabilistic uncertainty in rule-based systems. It has been investigated by I.R. Goodman and Hung T. Nguyen (1994) to provide a rigorous calculus of uncertain conditionals (uncertain rules in systems, ML, AI) but not very well known in research communities. As such, this paper is somewhat like a tutorial on the development of CEA for probability reasoning in intelligent systems.