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Abstrakty
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
Tom
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
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bwmeta1.element.baztech-article-BPC1-0001-0053