Artificial Intelligence

Artificial neural networks (ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute animal brains. Such…

Introduction There are many reasons why we might want to implement or adopt a distributed…

These are also called Belief Networks or Probabilistic Inference Networks. Initially developed by Pearl (1988). The basic idea…

This can be regarded as a more general approach to representing uncertainty than the Bayesian…

This approach has been suggested by Shortliffe and Buchanan and used in their famous medical…

The basic approach statistical methods adopt to deal with uncertainty is via the axioms of…

The (Symbolic) methods basically represent uncertainty belief as being True,False, orNeither True nor False. Some methods…

A variety of Truth Maintenance Systems (TMS) have been developed as a means of implementing Non-Monotonic Reasoning…

Circumscription is a rule of conjecture that allows you to jump to the conclusion that the…

Predicate logic and the inferences we perform on it is an example of monotonic reasoning. In monotonic…