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Rule-Based Systems

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May 1, 2024 3 minute read

Rule-based systems (RBSs) are expert systems that utilize a knowledge base made up of a set of rules to mimic the decision-making process of a human expert. These systems have gained considerable attention in diverse domains such as medical diagnosis, financial forecasting, and manufacturing process control because of their interpretability, explainability, and simplicity of implementation.

How Rule-Based Systems Work

An RBS operates based on a set of IF-THEN rules, where the IF part represents the conditions that need to be met, and the THEN part represents the actions that should be taken.

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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Rule-Based Systems.
Provides a comprehensive overview of the science of rule-based expert systems. It covers topics such as knowledge representation, inference, and uncertainty management.
Provides a collection of papers from the First International Conference on Expert Systems and Rule Technology. It covers a wide range of topics, including the design, development, and evaluation of expert systems.
Provides a futuristic look at the future of rule-based expert systems. It discusses new trends and developments in the field and provides insights into the potential of rule-based systems to solve complex problems.
Provides an overview of rule-based machine learning techniques for biomedical applications. It covers topics such as feature selection, model selection, and evaluation.
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