ous thinking involves some degree of ambiguity and incompleteness.
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Non-monotonous thinking involves some degree of ambiguity and incompleteness.
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- In thinking that is not monotonous, there remains a certain amount of ambiguity and unfinished business.Unsettledness and unanswered questions are hallmarks of non-routine thought.Models of reasoning may be differentiated according to whether they are rule-based, model-based, or case-based. Provide an illustration of one of their many shortcomings.
- Reasoning models may be classified as either rule-based, model-based, or case-based. Provide an example of one of their numerous flaws.Model-based reasoning generally operates at a level of detail that leads to significant complexity; this is, after all, one of the main reasons human experts have developed heuristics in the first place. True or FalseNon-monotonic thinking implies some level of incompleteness and ambiguity.
- Machine learning (ML) improves the decision-making performance of an AI system by learning A) pattern in the data associated with the decisions B) human decision making process C) the best possible choice from data sets or expert feedback D) modifications to instructions needed to make the right decisionNon-monotonous reasoning involves some degree of uncertainty and incompleteness.Machine learning (ML) improves the decision-making performance of an AI system by learning A) patterns in the data associated with the decisions B) modifications to instructions needed to make the correct choices C) the best possible choices from data sets or expert feedback D) human decisions making processes