In order for computers to process logical arguments, the logical operators have to be translated into electric
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Yes. the RHS of the first is equivalent to xor(P,Q). This becomes an inclusive or when the or(Q,...) is added. Not(P) as suggested above doesn't give the correct result when Q and P both = true.
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They defy logic...\nhave a active low outputs (Digital logic term)
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use ascii value to perform the sort\nthe logic is 'a' has lowest ascii value than others
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use  brain\nif not  calculator
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You would have to be capable of constructing a simple sentence in English prior to being allowed computer access.
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There really is nothing magical about AI.   It is a form of search and or conditional calculation.\n\nIt is very possible to write AI applications in structured languages.  For instance, I wrote an expert system for a class in grad school (back in the '80s) in Turbo Pascal.  Got an A on it, too.  I'm sure that you can do the same things now in Perl or C# or Java.\n\nMost neural nets, games, & genetic algorithms are probably written in C/C++ and they most likely have portions in assembly for optimization.  These are certainly NOT considered "AI Languages".\n\nThe classical uses for Lisp and Prolog are for expert systems and other decision based systems.  That doesn't mean that they can't be used for other things.  A company I worked for back in the early '90s built and sold CASE tools written in Lisp.  Nobody would think of building a CASE tool in Lisp nowadays, even though a good portion of the DB design tool is in fact a rules based Expert System -- the "perfect" place to use lisp.\n\nI guess my point here is that you shouldn't get wrapped up in the languages themselves.  Each language offers strengths and weaknesses as it is nothing more than a tool to solve the problem.  A well engineered solution is far more important than the language it is written in.
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Boolean logic is a complete system for logical operations. It was named after George Boole, an English mathematician at University College Cork who first defined an algebraic system of logic in the mid 19th century. Boolean logic has many applications in electronics, computer hardware and software. In 1938, Claude Shannon showed how electric circuits with relays were a model for Boolean logic. This fact soon proved enormously consequential with the emergence of the electronic computer.\n\nLogic design is based on Boolean. It works on the concept of an ON and OFF stae or 1 and 0.
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An operational amplyfier has a gain of one.Thetrefore it is very ussefull in logic circuitry.
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Probably not too directly.  Computer Information Systems is pretty high level.  But when working with computers extensively, the ability to analyze problems and think logically is important.  So perhaps that's the connection.
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C is the logical answer...
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If the computer says so, it must be.
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Electronic Data Processing, I think.
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"Gates" are more correctly called logic gates. As the name implies, logic gates perform decision functions in digital electronics, especially in computers. This website has a complete discussion about logic gates, along with associated symbology -->http://www.play-hookey.com/digital/basic_gates.html
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If we imagine a line continuum between machine and man, and place Induction, Deduction & Analogy on it. Induction will probably be closer to the machine and Analogy will be closer to man, with Deduction probably in the center.
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C would be more efficient for artificial intelligence, if you are thinking about one or the other.  But there are other languages that would be better suited for this task, such as LISP.
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If you can draw it like a circuit it should be a little easier to see.\nClick on this site and go through the 'prev page' and 'next pages' for samples of Boolean logic. \nhttp://computer.howstuffworks.com/boolean2.htm\nHope this helps.\nTry using the output as an input to keep track of state
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many, many discrete logic states...not just 0 or 1