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2014 | 4 | 1 |

Article title

Creating New Knowledge Assisted by Computational Devices

Title variants

Languages of publication

EN

Abstracts

EN
In contemporary global knowledge based society there are scorching needs for new knowledge and unprecedented vision of future development. Author is focuses attention to new possibilities of fostering creative abilities and gaining new socio-economic knowledge by the assistance of ICT, Internet and mainly by using products and services of computational intelligence. His method used is prevailingly new knowledge creation by experimentation in virtual laboratories. In using conventional methods, he combines inductive and deductive methods as set up for developing mental models from up to down and bottom to up. Because in socio-economic branches it is very difficult and even almost wholly impossible to do experiments in objective reality the experimentation by the assistance of computational intelligence is promising advance in gaining new socioeconomic knowledge in contemporary complex world. Using such new approaches, methods and tools is the main scientific aim of the author. He uses convictive demonstration of successful using these unprecedented possibilities in gaining deeper knowledge about complex evolutionary phenomena. The distinction of such knowledge is against conventional one is consisting in very deep understanding of complex socio-economic dynamics. Using meant knowledge acquisition approaches is promising in quality and in abiding knowledge and skill of single individuals but the extraordinary progress of creative knowledge based society fostered by using them in advanced webs is useful for whole society.

Publisher

Year

Volume

4

Issue

1

Physical description

Dates

published
2014-07-01
online
2016-02-04

Contributors

  • University of economics in Bratislava, Department of the Rector, Dolnozemská cesta 1, 852 35 Bratislava, Slovakia, 421 02 6729 5360

References

  • [1] ACE website is available in Internet <>
  • [2] Andrášik, L. (2010). Computational Qualitative Economics, Computational Intelligence-Assisted Building, Writing and Running Virtual Economic Theories, Computational Intelligence in Engineering, Studies in Computational Intelligence, Volume 313/2010, p. 247-261, DOI: 10.1007/978-3-642-15220-7_20, Springer-Verlag, Berlin-Heidelberg.
  • [3] Andrášik, L. (2004). The Theory of Computer-aided Experimentation in an Artificial Economy - Some Unconventional Approaches to Simulation of Models of Economical Evolution and to Experimentation in Successive Environment, Economic Journal/Ekonomický časopis, 52, No. 8, p. 996.
  • [4] Andrášik, L. (2008). Digital Stories in Non-Linear Dynamical Economies in Discrete Time, Economic Journal/Ekonomický časopis, 56, No. 3, p. 239.
  • [5] Andrášik, L. (1998). Virtual Life and Perpetualogics (Self-Preservation of Virtual Entities in Computational Intelligent Technology), Philosophy/Filozofia, 53, 1, pp. 15-26.
  • [6] Andrášik, L. (1998). Learning by Evolution - in an Artificial Economy, Economic Journal/Ekonomický časopis, 46, 1, pp. 72-98.
  • [7] Andrášik, L. (2010). Forcing to creative destructions in knowledge capital by progressing Computational intelligence, 6th International Scientific Conference, “Business and Management–2010”, May 13-14, 2010, Selected papers. Vilnius, 2010, pp. XX–XX, © Vilnius Gediminas Technical University, Vilnius, LITHUANIA.
  • [8] Andrášik, L. (2009). Computational Intelligence assisted Theory Building in Economics, In: Proceedings of the 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, November 2009, p. 123.
  • [9] Bosse, T., Geller, A., Jonker, C. M., (Eds.). (2011). Multi-Agent-Based Simulation XI, 6532, Lecture Notes in Computer Science, Springer.
  • [10] Bruun, CH. (2006). Advances in Artificial Economics, The Economy as a Complex Dynamic System, 584, Lecture Notes in Economics and Mathematical Systems, Springer, Berlin, Heidelberg.
  • [11] David, P. A., and Foray, D. (2001). An Introduction to the Economy of Knowledge Society, Department of Economics, Oxford University, Manor Road Building, Oxford OX1 3UQ, Discussion Paper Series, Number 84.
  • [12] Ezekiel M. (1938). The Cobweb Theorem, The Quarterly Journal of Economics, Vol. 52, No. 2 (Feb., 1938), pp. 255-280, Oxford University Press.
  • [13] Farrel, J., Klemperere, P. (2004). Coordination and Lock-In Competition with Switching Cost and Network Effects, Available on Internet <>
  • [14] Ferber, J. (1999). Multi-Agent System, An Introduction to Distributed Artificial Intelligence. Addison-Wesley Longman.
  • [15] Foray, D. (2004). The Economics of Knowledge, The MIT Press, Cambridge, Massachusetts, London, England.
  • [16] Hales, D., Edmonds, B., Norling, E., (Eds.), 2581. (2003). Multi-Agent-Based Simulation III, 2927, Lecture Notes in Computer Science, Springer.
  • [17] Kauffman, S. A. (1995). At Home in the Universe: The Search for Laws of Self-organization and Complexity, Oxford University Press, p. 321.
  • [18] Kloudova, J. et al (2010). Kreativní ekonomika. Trendy, výzvy, příležitosti. [Creative Economy. Trends, Challenges, Opportunities.]. 1st edition. Praha: Grada Publishing. 218p.
  • [19] Langton, C., ed. (1989). Artificial Life. Redwood City, California: Addision-Wesley.
  • [20] Kováč, L. (2002). The two cultures revisited: new widening gaps, World Futures 58, pp. 1-11. See also: Kováč, L. (1992). The natural world (“Lebenswelt”) as a biological problem. Vesmír 71: pp. 505-506.
  • [21] Lenski, R., Ofria, C., Collier, T., Adami, C. (1999). Genome complexity, robustness and genetic interactions in digital organisms. Nature 400, 661-664.
  • [22] Lines, M., Medio, A. (2005). iDMC (interactive Dynamical Model Calculator), user’s guide, <>
  • [23] Lines, M., Medio, A. (2001). Nonlinear Dynamics: A Primer, Cambridge University Press.
  • [24] Luna, F., (Eds.). (2000). Economic Simulation in SWARM, Agent-Based Modelling and Object Oriented Programming, Cluwer Academic Publishers, Norwell.
  • [25] Morris, R. (1999). Artificial Worlds. Perseus Publishing.
  • [26] Moss, S., Davidsson, P. (Eds.). (2001). Multi-Agent-Based Simulation, 1979, Lecture Notes in Artificial Intelligence, Subseries of Lecture Notes in Computer Science. Springer, Berlin.
  • [27] Robbins, L. (1935). An Essay on the Nature and Significance of Economic Science, London: Macmillan.
  • [28] Ruth, M., and Hannon, B. (1997). Modelling dynamic economic systems, Springer, New York.
  • [29] Sichman, J. S., Conte, R., Gilbert, N., (Eds.). (1998). Multi-Agent Systems and Agent-Based Simulation, 1534, Lecture Notes in Computer Science, Springer.
  • [30] Sichman, J. S., Bousquet, F., Davidsson, P., (Eds.). (2003). Multi-Agent-Based Simulation II, 2581, Lecture Notes in Computer Science, Springer.
  • [31] Terna, P. et al (1995). Neural Networks for Economic and Financial Modelling, International Thomson Computer Press; 1st edition.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.doi-10_2478_cks-2014-0007
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