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Learning and Adaptation
As stated earlier, ANN is completely inspired by the way biological nervous system, i.e. the…
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Artificial Neural Network – Building Blocks
Processing of ANN depends upon the following three building blocks − Network TopologyAdjustments of Weights…
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Artificial Neural Network – Basic Concepts
Artificial neural networks (ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute animal brains. Such…
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Distributed Reasoning
Introduction There are many reasons why we might want to implement or adopt a distributed…
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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…