Difference between monotic and non monotic systems in artificial intelligence
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Answer:
Explanation:Monotonic learning is when an agent may not learn the knowledge that contradicts with what it already known or exists, it will not replace a statement with its negation. Thus, the knowledge base may only grow with new facts in a monotonic fashion. The advantages of monotonic learning are:
1.greatly simplified truth-maintenance
2.greater choice in learning strategies
Non-monotonic learning is when an agent may learn the new knowledge that contradicts what it already known or existing. So it replaces the old knowledge with new if it believes there is sufficient reason to do so. The advantages of non-monotonic learning are:
1.increased applicability to real domains,
2.greater freedom in the order things are learned in
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