How deeply does Building Reliable AI Systems cover rule-based system?

Defines rule-based decisions and contrasts their rigidity with AI-driven reasoning, without detailing implementation.

Rule-based system

As explained in Building Reliable AI Systems

A system that makes decisions by applying predefined logic or rules to inputs.

A rule-based system selects actions by applying predefined logic to inputs. In an AI agent, rules can route queries mentioning “flight” or “hotel” to the corresponding booking API. section 6.2.5

Rules are simple and transparent, but rigid: a request for a pet-friendly hotel may fail unless that constraint is explicitly programmed. Unlike AI-driven reasoning, this approach does not adapt dynamically to ambiguity or unexpected requests. section 6.2.5

How Building Reliable AI Systems covers it

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Also explained in

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Introduction to Generative AI, Second EditionA rules-based AI system produces outputs by applying explicitly authored rules or response mappings rather than generating them probabilistically from learned model parameters.
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Financial AI in PracticeA rules-based system is a computational system whose behavior is determined by explicitly specified if-then rules.
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Effective Data AnalysisA rules-based model produces outputs by applying explicitly specified logical rules, conditions, or keyword matches to input data.
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Machine Learning System DesignA rule-based system produces outputs by applying explicitly specified logical or procedural rules rather than learned model parameters.
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Natural Language Processing in Action, Second EditionA rule-based algorithm determines outputs by applying explicitly designed human-authored rules to input data.

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Related concepts

pattern matchinguses · Pattern matching is the process of comparing data or values with specified or learned patterns to identify correspondence, conformity, or a matching case.
statisticscontrasts with · Statistics is the discipline and set of methods for collecting, summarizing, analyzing, and interpreting data, including numerical descriptions used to characterize observations and support inference.
ruleuses · A rule is an explicitly specified condition, procedure, or directive that governs behavior, decisions, or outcomes in a defined domain.
machine learningalternative to · Machine learning is a field of computational methods in which systems learn patterns or relationships from data to make predictions, decisions, or other outputs.
Pythonuses · Python is a high-level, general-purpose, dynamically typed programming language known for readable syntax and automatic memory management.

This explainer was generated by Manning's knowledge graph from the text of Building Reliable AI Systems. The section links point to the parts of the book it draws on.