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<record version="12" id="7418">
 <title>artificial intelligence</title>
 <name>ArtificialInteglligence</name>
 <created>2005-10-06 12:07:07</created>
 <modified>2008-11-22 21:04:01</modified>
 <type>Topic</type>
 <creator id="12431" name="aplant"/>
 <author id="20947" name="bci1"/>
 <author id="2760" name="yark"/>
 <author id="17058" name="dankomed"/>
 <author id="13753" name="Mathprof"/>
 <author id="10697" name="pengbo"/>
 <classification>
	<category scheme="msc" code="68T01"/>
	<category scheme="msc" code="68-00"/>
	<category scheme="msc" code="68T27"/>
	<category scheme="msc" code="68T40"/>
	<category scheme="msc" code="18B20"/>
	<category scheme="msc" code="03D05"/>
 </classification>
 <synonyms>
	<synonym concept="artificial intelligence" alias="computer programmimg"/>
	<synonym concept="artificial intelligence" alias="symbolic computation"/>
	<synonym concept="artificial intelligence" alias="computer simulation"/>
	<synonym concept="artificial intelligence" alias="sub-symbolic computation"/>
	<synonym concept="artificial intelligence" alias="super-complex systems"/>
	<synonym concept="artificial intelligence" alias="universal Turing machines"/>
 </synonyms>
 <related>
	<object name="CategoryOfAutomata"/>
	<object name="Automaton"/>
	<object name="CategoryOfMRSystems3"/>
	<object name="StateMachine"/>
	<object name="UniversalTuringMachine"/>
	<object name="StrongAIThesis"/>
	<object name="Supercomputers2"/>
 </related>
 <keywords>
	<term>AI</term>
	<term>parallel computation</term>
	<term>symbolic computation</term>
	<term>automatic theorem proving</term>
	<term>computer programmimg</term>
	<term>super-complex systems</term>
	<term>universal Turing machines </term>
 </keywords>
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 <content>\emph{Artificial intelligence} aims to mimic the `operation' of the human mind using sequential machines, automata, robots, or computers. Indeed there are two different claims on how far AI can go in exhibiting human behaviors, and especially in emulating the actions of the human mind:

\begin{itemize}
\item Strong AI thesis, or 
\PMlinkexternal{`general intelligence'}{http://en.wikipedia.org/wiki/Artificial_intelligence}, 
is a very long term aim of AI research in Computer Science that might not be achievable
within the bounds of Boolean logic if it does aim to match human intelligence that often operates
beyond chrysippian, formal or even symbolic two-value logic, and indeed as it remains currently undefined (or undefinable ?) in terms of either Boolean or symbolic, two-value logic. \\
\bigbreak

\item Weak AI thesis: 

\begin{enumerate}
\item Knowledge-based AI 

\item Symbolic computation AI

\item Sub-symbolic AI

\item Computational `Intelligence' and `Neural' Networks or Nets

\end{enumerate}

\end{itemize}

{\bf Remarks:}
\begin{enumerate}
\item A \PMlinkexternal{Super-complex Computer System Architecture}{http://etd.library.pitt.edu/ETD/available/etd-03102008-120235/unrestricted/ColinIhrig-ms-3-18-08.pdf} may give one the illusion of `strong AI' in spite of its
Boolean logic limitations, as there are no stringent tests defined so far that are capable of correctly `measuring' intelligence either in humans or in computers. Until a satisfactory definition of `human intelligence' is arrived at, it will not
be possible to design acceptable means or tests to `measure' such intelligence, and therefore one could not establish
if the `strong AI' thesis is valid or not. It may indeed remain an {\em undecidable} issue on a chrysippian logic basis.

\item An universal Turing machine ({\em $AUTM$}) was shown to be able to simulate any other sequential machine, automaton, robot, or computer by employing steps that humans do not consider to require `intelligence' (i.e., 
human intelligence). 

\end{enumerate}

</content>
</record>
