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\title{\bf Is Artificial Neural Network Intelligent?
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%%\author{Akira Imada, Keijiro Araki\thanks{A. Imada is with the
%%Graduate School of Information Science, Nara Institute of Science and Technology, 
%%Nara, Japan. E-mail: akira-i@is.aist-nara.ac.jp .}\thanks{K. Araki is with the 
%%Graduate School of Information Science and Electrical Engineering, Kyusyu University,
%%Fukuoka, Japan. E-mail: araki@c.csce.kyusyu-u.ac.jp .}}


\author{{\bf Wieslaw Pietruszkiewicz}\\
        wpietruszkiewicz@wi.zut.edu.pl\\
        Szczecin Technical University \\
       \hspace*{1in} \\
        {\bf Akira Imada}\\
        akira@bstu.by\\
        Brest State Technical University\\
}



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\begin{abstract}
\noindent{\bf
This is an extended version of the paper originally written by the 2nd author of this article for the round table discussion in the 'International Conference on Neural Network and Artificial Intelligence 2010' for the purpose of breaking the ice. Thus the topic of this article is ``What is intelligence?'' when we talk about artificial intelligence specifically here by using artificial neural network. We try a speculation concerning if a machine intelligence by neural network could be as flexible as human intelligence or not.}
\end{abstract}

\bigskip
\section{Original Proposal}
As far as its application to industry is concerned, the state of the art of machine intelligence reaches an impressive level nowadays, as those authors proudly claimed. However does intelligence of those what they call a intelligent machine has a {\it human-like intelligence}?\\

\noindent
Once my friend, who worked with a world famous electric company as an engineer, told me, "It's amateurish," when I admired a food in a Chinese restaurant telling him, "It's really wonderful that they cook every time in a slightly different way whenever I order the same one, and every time it's delicious." He told me,
%%\footnote{number ...}, 
"Real professional should cook exactly the same way every time."\\

\noindent
Some of what they call an intelligent machine may indeed perform  the given task much more efficiently, effectively, or precisely than human. However, we human are not usually very efficient, effective nor precise, but rather spontaneous, flexible, unpredictable, or even erroneous sometime. \\

\noindent
What we expect when we address a {\it human-like intelligence} is, somewhat of a different behavior than the one as we behaved before, not exactly the same one, even when we come across a same situation again, while the state of the art may act differently in different situation but repeats the same action in a same situation.\\

\noindent
Once Dreyfus (1965) wrote, {\it A little intelligence is not intelligence at all but stupidity. ... Any program that does just one thing well is at best more like an idiot savant than like an intelligent man.''}\\

\noindent
Yes, an intelligent behaviors might differ even in a similar situations.
Hence we now assume our goal is {\it 'to make an agent behave differently even when it encounters the same situation as before.} That is, what we want is, a different action of the agents every time whenever the agents come across an identical situation.\\

\noindent
However, this always-different-action-in-a-similar-situation could be easily implemented simply by using random numbers. So a different-action-even-in-an-identical-situation just a necessary condition at the best.\\

\noindent
So let's our ultimate goal being {\it A spontaneous, flexible or unpredictable behavior should be done consciously.} But is it possible?



\section{Comment from the floor}
intelligence vs. smart\\

\noindent
one possible definition of machine intelligence might be correcting a previous mistake when a similar situation is encountered.


\section{Responce by Wieslow}

\hspace{10in}\\

\section*{Reference}
\begin{description}
\item
Dreyfus, H.~L.~(1965)
``Alchemy and Artificial Intelligence.''
Technical Paper/Notes published by RAND Corporation.
Reprinted in Artificial Intelligence: Critical Concepts, Vol.~3. Published in 2000.
\end{description}

\end{document}

\item
Ascoli, G.~A., and A.~V.~Samsonovich (2008)
``Science of the Conscious Mind.''
The Biological Bulletin, Vol.~215, pp.~204--215.

\item
Baxter, J., L.~Weaver, and P.~L.~Bartlett (1999)
``Direct Gradient based Reinforcement Learning: II. Gradient Ascent Algorithms and Experiments.''
Technical report, Australian National University, Research School of Information Sciences and Engineering.


\item
Bratman, M.~E.~(1967)
``Intentions, Plans, and Practical Reason.''
Harvard University Press.

\item
Brooks, R.~A.~(1990) ``Elephants don't Play Chess.''
Designing Autonomous Agents: Theory and Practice from Biology to Engineering and Back, pp.~3--15.%% MIT Press.

\item
Brooks, R.~A.~(1991)
"Intelligence without Representation."
Artificial Intelligence Vol.~47, pp.~139--159.

\item
Crevier, D.~(1993)
``AI: The Tumultuous Search for Artificial Intelligence.''
BasicBooks.

\item
Di Paolo, E.~A.~(2002) ``Spike Timing Dependent Plasticity for Evolved Robots.''
Adaptive Behavior Vol.~10, pp.~243--263.

\item
Dreyfus, H.~L.~(1965)
``Alchemy and Artificial Intelligence.''
Technical Paper/Notes published by RAND Corporation.
Reprinted in Artificial Intelligence: Critical Concepts, Vol.~3. Published in 2000.

\item
Dreyfus, H.~L.~(1972)
``What Computers Can't Do?'' MIT Press.

\item
Dreyfus, H.~L.~(1992)
``What Computers Still Can't Do?: A Critique of Artificial Reason.'' 
MIT Press. The 3rd edition of his book published in 1972 with the new preface.

\item
Durr, P., C.~Mattiussi, A.~Soltoggio, and  D.~Floreano (2008)
``Evolvability of Neuromodulated Learning for Robots.''
Proceedings of ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems, pp.~41--46.

\item
Edelman G.~M.~ and G.~Tononi (2000)
``A Universe of Consciousness: How Matter Becomes Imagination.'' Basic Books. (Also Kindle Edition from amazon.com is available.)

\item
Floreano, D., and J.~Urzelai (2000)
``Evolutionary Robots with On-line Self-Organization and Behavioral Fitness.''
Neural Networks Vol.~13, pp.~431--443.   

\item
Floreano, D.~(2006)
``Evolution of Spiking Neural Circuits in Autonomous Mobile Robots.''
Intelligent Systems Vol.~21, pp.~1005--1024.

\item
Florian, R.~V.~(2004)
``Evolution of Alternate Object Pushing in a Simulated Embodied Agent: Preliminary Report.''
Technical Report: Center for Cognitive and Neural Studies (Coneural) 04-02, Cluj, Romania.

\item
Florian, R.~V.~(2005)
``A Reinforcement Learning Algorithm for Spiking Neural Networks.''
Proceedings of the 7th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, pp.~299--306.

\item
Frosini, P.~(2009)
``Does intelligence imply contradiction?''
Cognitive Systems Research, Vol.~10, No.~4. pp.~297--315.

\item
Gerstner, W., W.~Kistler (2002)
``Spiking Neuron Models: Single Neurons, Populations, Plasticity.''
Cambridge University Press.

\item
Izhikevich, E.~M.~(2004)
``Which Model to Use for Cortical Spiking Neurons?''
IEEE Transactions on Neural Networks, Vol.~15, pp.~1063--1070.

\item
Izhikevich, E.~M.~(2006)
``Polychronization: Computation with Spikes Export Find Similar.''
Neural Computation, Vol.~18, No. 2. pp.~245--282.

\item
McClelland, J.~L.~(2009) 
``Is a Machine Realization of Truly Human-Like Intelligence Achievable?''
Published online from 'Springer Science + Business.'

\item
McCorduck, P.~(2004)
``Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence.''
A.~K.~Peters Ltd.

\item
McNaughton, B.~L., F.~P.~Battaglia, O.~Jensen, E.~I.~Moser, and M.-B.~Moser (2006)
``Path Integration and the Neural Basis of the Cognitive Map.''
Nature Reviews Neuroscience Vol.~7, pp.~663--678.

\item
Muller, R.~U., M.~Stead, J.~Pach (1996) 
``The Hippocampus as a Cognitive Graph.''
General Physiology and Biophysics Vol.~107, pp.~ 663--694.

\item
O'Keefe, J.~(1976)
``Place Units in the Hippocampus of the Freely Moving Rat.''
Experimental Neurology 51 Elsevier, pp.~78--109. 

\item
O'Keefe J., D.~H.~Conway (1978)
"Hippocampal Place Units in the Freely Moving Wat: Why They Fire Where They Fire."
Experimental Brain Research Vol.~31, No. 4, pp.~573--590.

\item
O'Keefe, J., and J. Dostrovsky (1971)
``The Hippocampus as Spatial Map. Preliminary Evidence from Unit Activity in the Freely Moving Rat.``
Brain Research. Vol 3, pp.~171--175.

\item
Papert, S.~(1968)
``The Artificial Intelligence of Hubert L. Dreyfus: A Budget of Fallacies.''
Massachusetts Institute of Technology, Project MAC, Artificial Intelligence Memo. No. 154.

\item
D.~Pereira, E.~Oliveira, N,~Moreira, and L.~Sarmento (2005)
``Towards an Architecture for Emotional BDI Agents.''
Proceedings of 12th Portuguese Conference on Artificial Intelligence, pp.~40--46.

\item
Poucet, B., P.~P.~Lenck-Santini, V.~Hok, E.~Save, J.~P.~Banquet, P.~Gaussier, and R.~U.~ Muller (2004)
``Spatial Navigation and Hippocampal Place Cell Firing: The Problem of Goal Encoding.''
Neurosciences, 15 pp.~89--107.
%%<also a good review  hippocampus-only models and others>

\item
Rumelhart, D.~E., J.~L.~McClelland, and the PDP research group (1986)
``Parallel Distributed Processing: Explorations in the Microstructure of Cognition.'' 
%%Volume I. 
MIT Press.

\item
Samsonovich, A.~V., and G.~A.~Ascoli (2005)
``A Simple Neural Network Model of the Hippocampus Suggesting its Pathfinding Role in Episodic Memory Retrieval.''
Learning Memory Vol.~12 (Cold Spring Harbor Laboratory Press), pp.~193--208. 

\item
Searle, J.~(1980)
``Minds, Brains, and Programs."
Behavioral and Brain Sciences Vol.~3, No. 3, pp.~417--457.

\item
Song, S.~, K.~D.~Miller, and L.~F.~Abbott (2000)
"Competitive Hebbian Learning through Spike-Timing-Dependent Synaptic Plasticity."
Nature Neuroscience Vol.~3, pp.~919--926.

\item
Stolle, M., and D.~Precup (2002)
``Learning Options in Reinforcement Learning.''
Proceedings of the International Symposium on Abstraction, Reformulation and Approximation.
Springer Lecture Notes in Computer Science Vol.~2371, pp.~212--223.

\item
Stanley, K.~O., B.~D. Bryant, and R.~Miikkulainen (2003)
``Evolving Adaptive Neural Networks with and without Adaptive Synapses.''
Proceedings of the IEEE Congress on Evolutionary Computation, pp.~2557--2564.


\end{document}

Or, Brooks (1991) wrote
{\it 
``It is unfair to claim that an elephant has no intelligence worth studying just because it does not play chess.''}






