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Interactive Complex Granules

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Języki publikacji
EN
Abstrakty
EN
Information granules (infogranules, for short) are widely discussed in the literature. In particular, let us mention here the rough granular computing approach based on the rough set approach and its combination with other approaches to soft computing. However, the issues related to interactions of infogranules with the physical world and to perception of interactions in the physical world by infogranules are not well elaborated yet. On the other hand the understanding of interactions is the critical issue of complex systems. We propose to model complex systems by interactive computational systems (ICS) created by societies of agents. Computations in ICS are based on complex granules (c-granules, for short). In the paper we concentrate on some basic issues related to interactive computations based on c-granules performed by agents in the physical world.
Wydawca
Rocznik
Strony
181--196
Opis fizyczny
Bibliogr. 34 poz., rys.
Twórcy
autor
  • Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland
autor
  • Institute of Mathematics, The University of Warsaw, Banacha 2, 02-097 Warsaw, Poland
  • Department of Computer Science, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182, USA
Bibliografia
  • [1] J. Barwise, J. Seligman. Information Flow: The Logic of Distributed Systems. Cambridge University Press, Cambridge, UK, 1997.
  • [2] J. Bazan. Hierarchical classifiers for complex spatio-temporal concepts. Transactions on Rough Sets IX: Journal Subline LNCS 5390 (2008) 474–750.
  • [3] D. Deutsch, A. Ekert, R. Lupacchini. Machines, logic and quantum physics. Neural Computation 6 (2000) 265–283.
  • [4] D. Goldin, S. Smolka, P. Wegner (Eds.). Interactive Computation: The New Paradigm. Springer, 2006.
  • [5] Y. Gurevich. Interactive algorithms 2005. In: Goldin et al. [4], pp. 165–181.
  • [6] M. Heller. The Ontology of Physical Objects. Four Dimensional Hunks of Matter. Cambridge Studies in Philosophy, Cambridge University Press, Cambridge, UK, 1990.
  • [7] A. Jankowski. Practical Issues of Complex Systems Engineering: Wisdom Technology Approach. Springer, Heidelberg, 2014. (in preparation).
  • [8] A. Jankowski, A. Skowron. A wistech paradigm for intelligent systems. Transactions on Rough Sets VI: Journal Subline LNCS 4374 (2007) 94–132.
  • [9] A. Jankowski, A. Skowron. Wisdom technology: A rough-granular approach. In: M. Marciniak, A. Mykowiecka (Eds.), Bolc Festschrift, Springer, Heidelberg, Lecture Notes in Computer Science, vol. 5070. 2009, pp. 3–41.
  • [10] A. Jankowski, A. Skowron, R. Swiniarski. Interactive complex granules. In: M. Szczuka, L. Czaja, M. Kacprzak (Eds.), Proceedings of the 22nd International Workshop on Concurrency, Specification and Programming (CS&P’2013), Warsaw, Poland, September 25–27, 2013, CEUR Workshop Proceedings, RWTH Aachen University, vol. 1032. 2013, pp. 206–218.
  • [11] A. Jankowski, A. Skowron, R. W. Swiniarski. Interactive computations: Toward risk management in interactive intelligent systems. In: P. Maji, A. Ghosh, M. N. Murty, K. Ghosh, S. K. Pal (Eds.), Proceedings of the 5th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2013), Kolkata, India, December 10-14, 2013, Springer, Heidleberg, Lecture Notes in Computer Science, vol. 8251. 2013, pp. 1–12.
  • [12] S. Lloyd. The Computational Universe: Universe. (10.22.02). URL www.edge.org/conversation/the-computational-universe
  • [13] L. Marsh. Stigmergic epistemology, stigmergic cognition. Journal Cognitive Systems 9 (2008) 136–149.
  • [14] P. Martin-Löf. Intuitionistic Type Theory (Notes by Giovanni Sambin of a series of lectures given in Padua, June 1980). Bibliopolis, Napoli, Italy, 1984.
  • [15] M. Minsky. Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Mind. Simon & Schuster, New York, 2006.
  • [16] S. H. Nguyen, J. Bazan, A. Skowron, H. S. Nguyen. Layered learning for concept synthesis. Transactions on Rough Sets I: Journal Subline LNCS 3100 (2004) 187–208.
  • [17] A. Noë. Action in Perception. MIT Press, 2004.
  • [18] A. Omicini, A. Ricci, M. Viroli. The multidisciplinary patterns of interaction from sciences to computer science. In: Goldin et al. [4], pp. 395–414.
  • [19] Z. Pawlak. Information systems - theoretical foundations. Information Systems 6 (1981) 205–218.
  • [20] Z. Pawlak. Rough Sets: Theoretical Aspects of Reasoning about Data, System Theory, Knowledge Engineering and Problem Solving, vol. 9. Kluwer Academic Publishers, Dordrecht, The Netherlands, 1991.
  • [21] W. Pedrycz, S. Skowron, V. Kreinovich (Eds.). Handbook of Granular Computing. John Wiley & Sons, Hoboken, NJ, 2008.
  • [22] A. Skowron, J. Stepaniuk, R. Swiniarski. Modeling rough granular computing based on approximation spaces. Information Sciences 184 (2012) 20–43.
  • [23] A. Skowron, Z. Suraj (Eds.). Rough Sets and Intelligent Systems. Professor Zdzislaw Pawlak in Memoriam. Series Intelligent Systems Reference Library, Springer, 2013.
  • [24] A. Skowron, M. Szczuka. Toward interactive computations: A rough-granular approach. In: J. Koronacki, Z. Raś, S. Wierzchoń, J. Kacprzyk (Eds.), Advances in Machine Learning II: Dedicated to the Memory of Professor Ryszard S. Michalski, Springer, Heidelberg, Studies in Computational Intelligence, vol. 263. 2009, pp. 23–42.
  • [25] A. Skowron, P. Wasilewski. Information systems in modeling interactive computations on granules. In: M. Szczuka, M. Kryszkiewicz, S. Ramanna, R. Jensen, Q. Hu (Eds.), Proceedings of RSCTC 2010, Springer, Heidelberg, Lecture Notes in Computer Science, vol. 6086. 2010, pp. 730–739.
  • [26] A. Skowron, P. Wasilewski. Information systems in modeling interactive computations on granules. Theoretical Computer Science 412(42) (2011) 5939–5959.
  • [27] A. Skowron, P. Wasilewski. Toward interactive rough-granular computing. Control & Cybernetics 40(2) (2011) 1–23.
  • [28] A. Skowron, P. Wasilewski. Interactive information systems: Toward perception based computing. Theoretical Computer Science 454 (2012) 240–260.
  • [29] V. Vapnik. Statistical Learning Theory. John Wiley & Sons, New York, NY, 1998.
  • [30] L. A. Zadeh. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. on Systems, Man and Cybernetics SMC-3 (1973) 28–44.
  • [31] L. A. Zadeh. Fuzzy sets and information granularity. In: Advances in Fuzzy Set Theory and Applications, North-Holland, Amsterdam. 1979, pp. 3–18.
  • [32] L. A. Zadeh. Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets and Systems 90 (1997) 111–127.
  • [33] L. A. Zadeh. From computing with numbers to computing with words – from manipulation of measurements to manipulation of perceptions. IEEE Transactions on Circuits and Systems 45 (1999) 105–119.
  • [34] L. A. Zadeh. A new direction in AI: Toward a computational theory of perceptions. AI Magazine 22(1) (2001) 73–84.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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