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Deductive Inferences - Artificial intelligence:
We have described how knowledge can be represented in first-order logic, and how in logic rule-based expert systems expressed can be used and constructed. Now, we look at how to take home known facts regarding a domain and deduce new facts from them. In turn, this will enable agents to prove things, for example, to begin with a set of statements we believe to be true (axioms) and deduce whether another statement (theorem) is true or false. We will first look at how to tell whether a sentence in propositional logic is true or false. This will advise some equivalences among propositional sentences, which let us to rewrite sentences to other sentences which mean the similar thing, regardless of the truth or meaning of the specific propositions they contains. These are reversible inferencesthat can be applied in deduction either way. In general, we then look at propositional and first-order inference rules, which enable us deduce new sentences if we know that certain things are true, and which cannot be reversible.
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Create a class called ticket that records the information of a performance ticket.The class should include at least six data items: performanceId, seatRow, seatNo, class, price, da
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Write a CGI program that displays a count of how many times a browser on each computer has contacted the server. echo Content -type: text /html echo N=$QUERY_STRING Ec
What are qualified associations? A qualified association is an association in which an attribute known as the qualifier disambiguates the object many associated end.
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