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Tools for the realization of adaptive information system

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper deals with the problem of realization of intelligent information objects of centralized and distributed information systems. The emphasis is made on the problem adaptation as a fundamental paradigm of intelligent objects possessing the specific capacity for decision-making and selection of optimal ways in the solution of jobs directly in the course of operation. A correlation is analyzed between the concepts of a "classical" cybernetic system and some modern systems, such as adaptive planning systems and programming agents, and an example is discussed of a CAD system that realizes ideas of the problem adaptation paradigm.
Rocznik
Strony
65--80
Opis fizyczny
Bibliogr. 24 poz., tys., tab.
Twórcy
autor
  • Szczecin University of Technology, Faculty of Computer Science and Information System, ul. Żołnierska 49, 71-210 Szczecin, Poland, wrogoza@wi.ps.pl
Bibliografia
  • [1] G. F. Luger, Artificial Intelligent. Structures and Strategies for Complex Problem Solving, Fourth Edition, Addison-Wesley, 2002.
  • [2] V. P. Sigorsky, Problem adaptation in computer-aided design systems, Radioelektronika (Izv. vuzov), 31, 6, 5-22 (in Russian).
  • [3] N. Wiener, Cybernetics, or Control and Communication in the Animal and the Machine, Second edition, McGraw Hill Co., 1961.
  • [4] W. R. Ashby, Design for a Brain. The Origin of Adaptive Behaviour, Chapman and Hall Ltd, London, 1960.
  • [5] V. M. Gluszkov, Synthesis of digital automata, Izd. Fiz.-Mat. Lit., Moscow, 1982 (in Russian).
  • [6] N. J. Nilsson, Teleo-Reactive Programs for Agent Control, Journal of Artificial Intelligent Research, 1, 139-158, 1998.
  • [7] S. Benson, Action Model Learning and Action Execution in a Reactive Agent, Proc. Int. Joint Conf. on Artificial Intelligence (IJCAI-95), 1995, 134-148.
  • [8] D. Weld, An introduction to least commitment planning, AI Magazine, 15, 4, 16-35, 1994.
  • [9] W. B. Klein, R. T. Westervelt, G. F. Luger, A general purpose intelligent control system for particle accelerators, Fournal of Intelligent & Fussy Systems, John Wiley, N.Y., 1999.
  • [10] B. C. Williams, P. P. Nayak, A reactive planner for a model-based wxwcutive, Proc. Int. Joint Conf. on Artificial Intelligence, Cambridge, MA: MIT Press, 1977.
  • [11] S. J. Russel, P. Norvig, Artificial Intelligent (A Modern Approach), Second Edition, Prentice Hall, 2003.
  • [12] M. Luck, R. Ashri, M. D'Inverno, Agent-based development, Artech House, Boston, 2004.
  • [13] B. Henderson-Sellers, P. Giorgini, Agent-Oriented Methodologies, Idea Group Publishing, 2005.
  • [14] Multiagent Systems, Edited by Gerhard Weiss, The MIT Press, 1999.
  • [15] C. Hughes, T. Hughes, Parallel and Distributed Programming Using C++, Addison-Wesley, 2004.
  • [16] E. D. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, 1989.
  • [17] Z. Michalewicz, Algorytmy genetyczne + struktury danych = programy ewolucyjne, Warszawa: Wyd. Naukowo-Techniczne, Genetic Algorithms + Data Structures = Evolution Programs, Springer-Verlag, 1996 (in Polish).
  • [18] W. Rogoza, Metody i środki projektowania obiektów interoperabilnych, EXIT, Warszawa, 2006 (in Polish).
  • [19] S. Baker, CORBA Distributed Objects using Orbix, Addison Wesley, 1997.
  • [20] J. P. Mueller, COM+ Developer's Guide, McGraw-Hill, 2000.
  • [21] A. S. Tanenbaum, M. van Steen, Distributed Systems (Principles and Paradigms), Prentice Hall, 2002.
  • [22] A. Troelsen, C# and the .NET Platform, Apress, 2001.
  • [23] A. Birerell, B. Nelson, Implementing Remote Procedure Calls, ACM Trans. Comp. Syst., 2, 1, 39-59, February 1984.
  • [24] E. Roman, S. W. Amber, T. Jewell, Enterprise Java Beans, Helion, 2003 (in Polish).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPC1-0001-0053
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