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ARTIFICIAL INTELLIGENCE- JNTUK R19 -UNIT6- Uncertainity Measure: Probability Theory

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  6. UNCERTAINTY MEASURE: PROBABILITY THEORY   PROBABILISTIC REASONING: Probabilistic reasoning is a way of knowledge representation where we apply the concept of probability to indicate the uncertainty in knowledge. In probabilistic reasoning, we combine probability theory with logic to handle the uncertainty. We use probability in probabilistic reasoning because it provides a way to handle the uncertainty that is the result of someone's laziness and ignorance. In the real world, there are lots of scenarios, where the certainty of something is not confirmed, such as "It will rain today," "behavior of someone for some situations," "A match between two teams or two players." These are probable sentences for which we can assume that it will happen but not sure about it, so here we use probabilistic reasoning. Need of probabilistic reasoning in AI : ·          When there are unpredictable outcomes. ·          When specifications or possib