PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Model zarządzania ryzykiem z wykorzystaniem systemów wieloagentowych

Treść / Zawartość
Identyfikatory
Warianty tytułu
EN
Model of management of risk with use multiagent system
Języki publikacji
PL
Abstrakty
EN
The globalization of world economies, global changes in economic conditions in the world today - the increasing volatility of commodity prices, exchange rates, interest rates heighten the risk of running business activity. It requires considering the impact of risk on decisions effects. Variability and complexity of the environment mean that the risk can be considered as a common factor associated with almost any activity. Risk should not be considered only in terms of threat, as it often creates opportunities that are inspiration of human action. Therefore it needs to be considered as one of determinants of entrepreneurship. It contributes to carrying out research, creation of new theories and attempting their application in practice. Thus it can be regarded as a source of progress and activation, and therefore it can be considered as a useful factor - under condition that it can be inspected and controlled. Enterprise management system performs, among other things, option of risk management. Classical methods of risk management are largely based on knowledge, ideas and preferences of decision maker. Under this approach it is very easy to make errors in investment evaluation. Very often such errors may lead the company into bankruptcy. The use of multi-agent systems in risk management will minimize the number of wrong decisions resulting from incorrect calculations and lack of objectivity of the decision maker. The use of multi-agent systems in management of investment risk, allows to create the database. The information stored in it can be used by users of the system in the future. It is worth noting that, thanks to usage of self-learning module by the system over time, the system becomes more and more independent. This approach is common to contemporary theories that focus on developing models to help decision-makers not only make decisions but also are able to show the effects of those decisions. In modern models of investment risk management it should be considered taking into account the different sources of risk. This follows from the fact that in modern approach the decision maker first must have knowledge of the way the company works. On this basis, it is able to, not only decide on investment, but also suggest some improvements in the enterprise risk management. A similar approach is presented in the model proposed in the article. To summarize, the proposed solution completely fulfills the requirements of modern models for managing risk.
Rocznik
Strony
2--14
Opis fizyczny
Bibliogr. 20 poz.
Twórcy
Bibliografia
  • [1] Bratman M.: Intentions, Plans and Practical Reason. Harvard University Press, Harvard 1987.
  • [2] Brustoloni J. C.: Autonomous Agents: Characterization and Requirements. Carnegie Mellon Technical University Report CMU-CS-91-204, Pitsburgh 1991.
  • [3] Cetnarowicz K.: Problemy projektowania i realizacji systemów wieloagentowych. Wydawnictwo AGH w Krakowie, Kraków 1999.
  • [4] Cichosz P.: Systemy uczące się WNT, Warszawa 2000.
  • [5] Ciesielski K., Dunin-Kęplicz B.: Systemy wieloagentowe: skrypt. Dostępny w Internecie: http:/www.mimuw.edu.pl/~keplicz/ps/MAS-skrypt.ps.
  • [6] FERMA, Standardy zarządzania ryzykiem, 2003.
  • [7] Florea A. M.: Introduction to Multi-agent Systems. International Summer School on Multiagent Systems, Bucharest 1998.
  • [8] Franklin S., Graesser A.: Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents. Institute for Intelligent Systems University of Memphis Proceedings of the Third International Workshop on Agent Theories, Architectures, and Languages, Springer-Verlag, Berlin 1996.
  • [9] Gierszewska G., Romanowska M.: Analiza strategiczna przedsiębiorstwa. Polskie Wydawnictwo Ekonomiczne, Warszawa 2002.
  • [10] Halikowska A., Halikowski D.: Database implementation in risk management, [w:] Materiały konferencyjne ISAT.2006 Information Systems Applications and Technology pod red. Z. Wilimowskiej, A. Grzecha. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 2006.
  • [11] Hayes-Roth B.: An Architecture for Adaptive Intelligent Systems. Artificial Intelligence. Special Issue on Agents and Interactivity, 1995.
  • [12] http:/pl.wikipedia.org/wiki/Agent_(programowanie)
  • [13] Jennings N. R., Wooldridge M.: Applying Agent Technology. .Journal of Applied Artificial Intelligence. special issue on Intelligent Agents and Multi-Agent Systems 1995.
  • [14] Maes P.: Designing Autonomous Agents. MIT Press, Cambridge Mass 1990.
  • [15] Moulin B., Chaib-Draa B.: An Overview of Distributed Artificial Intelligence. In: Foundations of Distributed Artificial Intelligence, G. O. Hare and N. Jennings (ed.). John Wiley & Sons, Hoboken 1996.
  • [16] Obłój K.: Strategia organizacji: w poszukiwaniu trwałej przewagi konkurencyjnej, Warszawa, Polskie Wydawnictwo Ekonomiczne, 2001.
  • [17] Osowicki R.: Systemy wieloagentowe - Rozproszona sztuczna inteligencja. Toruń 2006, materiały niepublikowane.
  • [18] Russel S., Norvig P.: Artificial Intelligence: A Modern Approach. Prentice-Hal, Saddle River, NJ 1995.
  • [19] Shoham Y.: Agent-oriented programming. .Artificial Intelligence, 60/1993.
  • [20] Wooldridge M. J.: An Introduction to MultiAgent Systems, Wiley & Sons, Hoboken 2009.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-LOD9-0030-0005
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.