gromatluidgi / productionrulesystempoc

Expert System Playground

Concepts

Expert System

As expert systems moved from research prototypes to deployed systems there was more focus on issues such as speed and robustness.

• https://en.wikibooks.org/wiki/Expert_Systems

Knowledge Based System

A knowledge-based system (KBS) is a form of artificial intelligence (AI) that aims to capture the knowledge of human experts to support decision-making. Examples of knowledge-based systems include expert systems, which are so called because of their reliance on human expertise.

• https://en.wikipedia.org/wiki/Knowledge-based_systems

Rule Based System

A classic example of a rule-based system is the domain-specific expert system that uses rules to make deductions or choices. For example, an expert system might help a doctor choose the correct diagnosis based on a cluster of symptoms, or select tactical moves to play a game.

• https://en.wikipedia.org/wiki/Rule-based_system

Inference Engine

The inference engine, allows new knowledge to be inferred.

• http://www.cse.unsw.edu.au/~cs9416/01-Overview/overview.html
• https://en.wikipedia.org/wiki/Inference_engine

Proposional Logic / Propositional Calculus

• https://iep.utm.edu/prop-log/
• https://discrete.openmathbooks.org/dmoi2/sec_propositional.html
• https://brilliant.org/wiki/propositional-logic/ <3

Definitions

• Inference Engine
  • Universal Quantification
  • Existential Quantification
• Semantic Reasoner : A semantic reasoner, reasoning engine, rules engine, or simply a reasoner, is a piece of software able to infer logical consequences from a set of asserted facts or axioms (https://en.wikipedia.org/wiki/Semantic_reasoner)
• Inductive Inference/Reasoning
• Forward Chaining - https://en.wikipedia.org/wiki/Forward_chaining
• Backward Chaining
• Truth Table
• Domain Specific Language - https://martinfowler.com/bliki/BusinessReadableDSL.html

Potential Pitfalls

• Passing fact as reference into the working memory.
• Memory requirements:
  • Storing facts
  • Inference process
• Persistence:
  • Entity Attribute Value (EAV)

Books & References

• Geometric and Topological Inference
• CLIPS - https://www.clipsrules.net/
• Dealing with properties by Martin Fawler - https://martinfowler.com/apsupp/properties.pdf
  • Fixed Property
  • Dynamic Property
  • Flexible Dynamic Property (string as parameter)
  • Typed Dynamic Property
  • Separate Properties
  • Dynamic Property Knowledge Level