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Bayesian networks
These are also called Belief Networks or Probabilistic Inference Networks. Initially developed by Pearl (1988). The basic idea…
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Dempster-Shafer Models
This can be regarded as a more general approach to representing uncertainty than the Bayesian…
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Belief Models and Certainty Factors
This approach has been suggested by Shortliffe and Buchanan and used in their famous medical…
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Basic Statistical methods — Probability
The basic approach statistical methods adopt to deal with uncertainty is via the axioms of…
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Symbolic versus statistical reasoning
The (Symbolic) methods basically represent uncertainty belief as being True,False, orNeither True nor False. Some methods…
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Implementations: Truth Maintenance Systems
A variety of Truth Maintenance Systems (TMS) have been developed as a means of implementing Non-Monotonic Reasoning…
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Circumscription
Circumscription is a rule of conjecture that allows you to jump to the conclusion that the…
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Non-Monotonic Reasoning
Predicate logic and the inferences we perform on it is an example of monotonic reasoning. In monotonic…
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Reasoning with Uncertainty
What is reasoning? When we require any knowledge system to do something it has not…
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Conceptual Dependency (CD)
Conceptual Dependency originally developed to represent knowledge acquired from natural language input. The goals of…