Place and role of intelligent systems in computer science

Place and role of intelligent systems in computer science

Ryszard Tadeusiewicz

AGH University of Science And Technology, al. Mickiewicza 30, 30-059 Krakow, Poland.

DOI:

https://doi.org/10.7494/cmms.2010.4.0290

Abstract:

General overview of the Artificial Intelligence area is presented with selected remarks about proper classification of research works as belonging to Artificial Intelligence or not belonging. Paper is treated as a general survey and not in- clude new original scientific results. Nevertheless general idea of Artificial Intelligence area segmentation and systemati- zation proposed in the paper can be useful for other researchers, especially these, who are novice in Artificial Intelligence applications.

Cite as:

Tadeusiewicz , R., (2010). Place and role of intelligent systems in computer science . Computer Methods in Materials Science, 10(4), 193-206. https://doi.org/10.7494/cmms.2010.4.0290

Article (PDF):

Keywords:

Computer science, Artificial intelligence, Machine learning, Symbolic methods, Holistic methods

References:

Aldenderfer, M.S., Blashfield, R.K., 1984, Cluster Analysis, Sage, Newbury Park.

Alonso, E., 2002, AI and Agents: State of the Art, AI Magazine, 23(3), 25-30.

Cios, K.J, Mamitsuka, H., Nagashima, T., Tadeusiewicz, R., 2005, Computational Intelligence in Solving Bioinformatics Problems. Editorial paper, Artificial Intelligence in Medicine, (35), 1-8.

Cios, K.J., Pedrycz, W., Świniarski, R., Kurgan L., 2007, Data Mining: A Knowledge Discovery Approach, Springer Verlag, Berlin   New York.

Colorni, A., Dorigo, M., Maniezzo, V., 1991, Distributed Optimization by Ant Colonies, Actes de la première conférence européenne sur la vie artificielle, Paris, France, Elsevier Publishing, 134-142.

Corchado, E., Abraham, A., Pedrycz, W., 2008, Hybrid Artificial Intelligence Systems, Third International Workshop HAIS 2008 Proceedings, Lecture Notes in Computer Science, 5271, Springer Veralg, Berlin – New York.

de Castro, L.N., Timmis, J., 2002, Artificial Immune Systems: A New Computational Intelligence Approach, Springer-Verlag, London – New York, 57-58.

Duda, R.O, Hart, P.E., Stork, D.G., 2001, Pattern classification (2nd editions, Wiley, New York.

Giarrantano, J., Riley, G., 1989, Expert Systems – Principles and Programming, PWS-KENT Publishing Company, Boston.

Haykin, S., 1999, Neural Networks: A Comprehensive Foundation (2 ed.). Upper Saddle River, N.J., Prentice Hal.

Hopfield, J.J., 1982, Neural networks and physical systems with emergent collective computational abilities, Proceedings of the National Academy of Sciences of the USA, 79, 8. 2554-2558.

Kohonen, T. 1995, Self-Organizing Maps. Series in Information Sciences, 30, Springer-Verlag, Berlin, Heidelberg, New-York.

Koza, J., 1992, Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press, Cambridge, MA.

Luger, G., 2005, Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th ed.), The Benjamin/Cummings Publishing Company, Inc.

Lukasiewicz, J., 1970, On three-valued logic, Borkowski, L. (ed.), Selected works by Jan Lukasiewicz, North-Holland, Amsterdam, 87-88.

McCulloch, W.S., Pitts, W., 1943, A logical calculus of the ideas immanent in nervous activity, Bulletin of Mathematical Biophysics, 5, 115-133.

Minsky, M., Papert, S., 1988, Perceptrons: An Introduction to Computational Geometry, The MIT Press, Cambridge MA.

Mitchell M., 1996, An Introduction to Genetic Algorithms, MIT Press, Cambridge, MA.

Newell, A., Shaw, J.C., Simon, H.A., 1959, Report on a general problem-solving program. RAND Corporation, PI584. Available online from: http://www.bitsavers.org/pdf rand/ipl/P-1584_Report_On_A_General_Problem-SolvingProgram Feb59.pdf (last accessed: 5 August 2010).

Poole, D., Mackworth, A., Goebel, R., 1998, Computational Intelligence: A Logical Approach, Oxford University Press, New York.

Rumelhart, D.E., McClelland, J.L., 1986, Parallel Distributed Processing: Explorations in the Microstructure of Cognition. 1: Foundations, The MIT Press, Cambridge MA.

Rutkowski, L., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds), 2008, Artificial Intelligence and Soft Computing ICAISC 2008, Lecture Notes in Artificial Intelligence, 5097, Proc. of9th Inter. Conf, Zakopane, Poland, June 22-26, 2008, Springer-Verlag, Berlin – Heidelberg New York.

Searle, J., 1980, Minds, Brains and Programs, Behavioral and Brain Sciences, 3 (3), 417-457.

Tadeusiewicz, R., 2009, Neural network as a tool for medical signals filtering, diagnosis aid, therapy assistance and forecasting improving, Dössel, O., Schlegel, W.C. (eds), IFMBE Proceedings, vol. IV: Image processing, biosignals processing, modelling and simulation, biomechanics. Springer Verlag, Berlin, Heidelberg, New York, 25, 1532-1534.

Tadeusiewicz, R., 2010, New Trends in Neurocybernetics, Computer Methods in Materials Science, 10, 1, 1-7.

Tadeusiewicz, R., Ogiela, L., Ogiela, M.R., 2008, The Automatic Understanding Approach to Systems Analysis and Design, International Journal of Information Management,28, 1,38-48.

Theodoridis, S., Koutroumbas, K, 2009, Pattern Recognition (4th edition), Elsevier, Burlington, MA.

Turing, A.M., 1950, Computing machinery and intelligence. Mind, 59,433-460.

Zadeh, L.A., 1965, Fuzzy sets, Information and Control. S C3L 338-353.