Methods to deal with Uncertainty in knowledge systems

Question

25 Nov 2020

Answer :

Word Count : 307

Artificial Intelligence (AI) and Knowledge Management intersect in addressing uncertainty within knowledge systems, employing various methods to mitigate its impact.

1. Probabilistic Models: AI systems often employ probabilistic models like Bayesian networks or Markov models to quantify uncertainty. These models assign probabilities to different outcomes, allowing systems to make informed decisions based on likelihoods rather than absolute certainties.

2. Fuzzy Logic: It's a method dealing with uncertainty by allowing for degrees of truth. Unlike binary logic, _________ ____ _________ _________ _________ _____ _________ ________.
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