Rough Sets and Interactive Granular Computing

Skowron, A.; Jankowski, A.

doi:10.3233/FI-2016-1413

Artykuł - szczegóły

Tytuł artykułu

Rough Sets and Interactive Granular Computing

Autorzy

Skowron A. , Jankowski A.

Wybrane pełne teksty z tego czasopisma

https://fi.episciences.org/

Identyfikatory

DOI

10.3233/FI-2016-1413

Warianty tytułu

Konferencja

International Workshop on CONCURRENCY, SPECIFICATION, and PROGRAMMING (CS&P 2015), (24; 28-30.09.2015, Rzeszów, Poland).

Języki publikacji

Abstrakty

In several papers we have discussed a computing model, called the Interactive Granular Computing (IGrC), for interactive computations on complex granules. In this paper, we compare two models of computing, namely the Turing model and the IGrC model.

Słowa kluczowe

granular computing rough set interaction information granule physical object complex granule interactive granular computing

Wydawca

IOS Press

Czasopismo

Fundamenta Informaticae

Rocznik

2016

Tom

Vol. 147, nr 2/3

Strony

371--385

Opis fizyczny

Bibliogr. 57 poz., rys., tab.

Twórcy

autor

Skowron A.

skowron@mimuw.edu.pl

Institute of Mathematics, The University of Warsaw, Banacha 2, 02-097 Warsaw, Poland

autor

Jankowski A.

andrzej.adgam@gmail.com

The Dziubanski Foundation of Knowledge Technology, Nowogrodzka 31, 00-511 Warsaw, Poland

Bibliografia

[1] Ortiz Jr CL. Why We Need a Physically Embodied Turing Test and What It Might Look Like. AI Magazine. 2016;37:55–62. Available from: http://dx.doi.org/10.1609/aimag.v37i1.2645.
[2] Jankowski A. Complex Systems Engineering: Wisdom for Saving Billions Based on Interactive Granular Computing. Heidelberg: Springer; 2016. (in preparation).
[3] Jankowski A, Skowron A. A wistech paradigm for intelligent systems. Transactions on Rough Sets VI: Journal Subline LNCS 4374. 2007;6:94–132. Available from: http://dx.doi.org/10.1007/978-3-540-71200-8_7, doi:10.1007/978-3-540-71200-8_7.
[4] Jankowski A, Skowron A. Logic for Artificial Intelligence: Rasiowa-Pawlak School Perspective. In: Ehrenfeucht A, Marek VM, Srebrny M, editors. Andrzej Mostowski and Foundational Studies. Amsterdam: IOS Press; 2008. p. 106–143. doi:10.3233/978-1-58603-782-6-106.
[5] Jankowski A, Skowron A. Wisdom Technology: A Rough-Granular Approach. In: Marciniak M, Mykowiecka A, editors. Bolc Festschrift. vol. 5070 of Lecture Notes in Computer Science. Heidelberg: Springer; 2009. p. 3–41. Available from: http://dx.doi.org/10.1007/978-3-642-04735-0_1, doi:10.1007/978-3-642-04735-0_1.
[6] Skowron A, Jankowski A, Wasilewski P. Risk Management and Interactive Computational Systems. Journal of Advanced Mathematics and Applications. 2012;1:61–73. Available from: http://dx.doi.org/10.1166/jama.2012.1006.
[7] Jankowski A, Skowron A. Toward W2T Foundations: Interactive Granular Computing and Adaptive Judgement. In: Zhong N, Tao X, editors. Wisdom Web of Things (W2T). Heidelberg: Springer; 2016. (in print).
[8] Jankowski A, Skowron A, Dutta S. Toward problem solving support based on big data and domain knowledge: Interactive granular computing and adaptive judgement. In: Japkowicz N, Stefanowski J, editors. Big Data Analysis: New Algorithms for a New Society. Series in Big Data. Heidelberg: Springer; 2016. p. 49–90. doi:10.1007/978-3-319-26989-4_3.
[9] Jankowski A, Skowron A, Swiniarski R. Interactive Complex Granules. In: Szczuka M, Czaja L, Kacprzak M, editors. Proceedings of the 22nd International Workshop on Concurrency, Specification and Programming (CS&P’2013), Warsaw, Poland, September 25–27, 2013. vol. 1032. RWTH Aachen University: CEUR Workshop Proceedings; 2013. p. 206–218. Available from: http://ceur-ws.org/Vol-1032/paper-18.pdf.
[10] Jankowski A, Skowron A, Swiniarski R. Interactive Complex Granules. Fundamenta Informaticae. 2014; 133(2-3):181–196. Available from: http://dx.doi.org/10.3233/FI-2014-1070, doi:10.3233/FI-2014-1070.
[11] Jankowski A, Skowron A, Swiniarski RW. Interactive Rough-Granular Computing in Wisdom Technology. In: Yoshida T, Kou G, Skowron A, Cao J, Hacid H, Zhong N, editors. Proceedings of the A 9th International Conference on ctive Media Technology (AMT 2013), Maebashi, Japan, October 29-31, 2013. vol. 8210 of Lecture Notes in Computer Science. Heidleberg: Springer; 2013. p. 1–13. Available from: http://dx.doi.org/10.1007/978-3-319-02750-0_1, doi:10.1007/978-3-319-02750-0_1.
[12] Nguyen HS, Jankowski A, Skowron A, Stepaniuk J, Szczuka M. Discovery of process models from data and domain knowledge: A rough-granular approach. In: Yao JT, editor. Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation. Hershey, PA: IGI Global; 2010. p. 16–47.
[13] Skowron A, Jankowski A. Interactive Computations: Toward Risk Management in Interactive Intelligent Systems. Natural Computing. 2015; doi:10.1007/s11047-015-9486-5.
[14] Skowron A, Jankowski A, Dutta S. Interactive Granular Computing. Granular Computing. 2016;1:95–113. doi:10.1007/s41066-015-0002-1.
[15] Skowron A, Jankowski A, Swiniarski RW. 30 Years of Rough Sets and Future Perspectives. In: Ciucci D, Inuiguchi M, Yao Y, Slezak D, Wang G, editors. Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2013), Halifax, Canada, October 11-14, 2013. vol. 8170 of Lecture Notes in Computer Science. Heidleberg: Springer; 2013. p. 1–13. Available from: http://dx.doi.org/10.1007/978-3-642-41218-9_1, doi:10.1007/978-3-642-41218-9_1.
[16] Skowron A, Jankowski A, Wasilewski P. Interactive computational systems. In: Popowa-Zeugmann L, editor. Proceedings of the Workshop on Concurrency, Specification, and Programming (CS&P 2012), Humboldt University, Berlin, September 26-28, 2012. vol. 225 of Informatik-Bericht. Humboldt-Universit 2012. p. 358–369. Available from: http://ceur-ws.org/Vol-928/0358.pdf.
[17] Skowron A, Stepaniuk J, Jankowski A, Bazan J. Rough derivatives as dynamic granules in rough granular calculus. In: Greco S, Bouchon-Meunier B, Coletti G, Fedrizzi M, Matarazzo B, Yager RR, editors. Advances on Computational Intelligence - Proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2012), Catania, Italy, July 9-13, 2012. Part I. vol. 297 of Communications in Computer and Information Science. Heidleberg: Springer; 2012. p. 321–330. Available from: http://dx.doi.org/10.1007/978-3-642-31709-5_33, doi:10.1007/978-3-642-31709-5_33.
[18] Skowron A, Stepaniuk J, Jankowski A, Bazan JG, Swiniarski R. Rough set based reasoning about changes. Fundamenta Informaticae. 2012;119(3-4):421–437. Available from: http://dx.doi.org/10.3233/FI-2012-746, doi: 10.3233/FI-2012-746.
[19] Heller M. The Ontology of Physical Objects. Four Dimensional Hunks of Matter. Cambridge Studies in Philosophy. Cambridge, UK: Cambridge University Press; 1990. ISBN-052138544X, 9780521385442. doi:10.2307/2108068.
[20] Doherty P, Łukaszewicz W, Skowron A, Szałas A. Knowledge Engineering: A Rough Set Approach. vol. 202 of Studies in Fuzziness and Soft Computing. Heidelberg: Springer; 2006. Available from: http: //dx.doi.org/10.1007/3-540-33519-6, doi:10.1007/3-540-33519-6.
[21] Bazan J. Hierarchical Classifiers for Complex Spatio-temporal Concepts. Transactions on Rough Sets IX: Journal Subline LNCS 5390. 2008;p. 474–750. http://dx.doi.org/10.1007/978-3-540-89876-4_26, doi:10.1007/978-3-540-89876-4_26.
[22] Valiant L. Research interests; WWW. Available from: Available from: http://people.seas.harvard.edu/~valiant/researchinterests.htm.
[23] Grossi D, Pigozzi G. Judgment Aggregation: A Primer. vol. 27 of Synthesis Lectures on Artificial Intelligence and Machine Learning. Morgan & Claypool; 2014.
[24] Hager P, Halliday J. Recovering Informal Learning Wisdom, Judgement and Community. Heidelberg: Springer; 2006.
[25] Kahneman D. Thinking, Fast and Slow. New York: Farrar, Straus and Giroux; 2011.
[26] Koehler DJ, Harvey N. Blackwell Handbook of Judgment and Decision Making. Blackwell Publishing; 2004.
[27] Montgomery K. Clinical Judgment and the Practice of Medicine. Oxford University Press; 2005.
[28] van Dalen D, editor. Brouwer’s Cambridge Lectures on Intuitionism (1951). Cambridge University Press; 1981.
[29] Martin WM, editor. Theories of Judgment. Psychology, Logic, Phenomenology. New York: Cambridge University Press; 2006.
[30] Valiant L. Probably Approximately Correct. Nature’s Algorithms for Learning and Prospering in a Complex World. New York: Basic Books, A Member of the Perseus Books Group; 2013.
[31] Pawlak Z. Classification of Objects by Means of Attributes. vol. 429 of Reports. Warsaw, Poland: Institute of Computer Science, Polish Academy of Sciences; 1981.
[32] Pawlak Z. Rough Relations. vol. 435 of Reports. Warsaw, Poland: Institute of Computer Science, Polish Academy of Sciences; 1981.
[33] Pawlak Z. Systemy Informacyjne. Podstawy Teoretyczne (Information Systems. Theoretical Foundations). Wydawnictwa Naukowo-Techniczne; 1983. Available from: http://bcpw.bg.pw.edu.pl/dlibra/docmetadata?id=2327.
[34] Skowron A, Suraj Z, editors. Rough Sets and Intelligent Systems. Professor Zdzislaw Pawlak in Memoriam. Series Intelligent Systems Reference Library 43. Springer; 2013. Available from: http://dx.doi.org/10.1007/978-3-642-30341-8, doi:10.1007/978-3-642-30341-8.
[35] Kleene SC. General recursive functions of natural numbers. Mathematische Annalen. 1936;112:727–742. Available from: http://eudml.org/doc/159849.
[36] Ulam S, Bednarek A. On the Theory of Relational Structures and Schemata for Parallel Computation. In: Analogies Between Analogies: The Mathematical Reports of S.M. Ulam and His Los Alamos Collaborators; 1990. p. 477–508.
[37] Skowron A, Stepaniuk J. Hierarchical modelling in searching for complex patterns: Constrained sums of information systems. Journal of Experimental and Theoretical Artificial Intelligence. 2005; 17:83–102. Available from: http://dx.doi.org/10.1080/09528130512331315873, doi:10.1080/09528130512331315873.
[38] Bonabeau E, Dorigo M, Theraulaz G. Swarm Intelligence. From Natural to Artificial Systems. Oxford University Press; 1999. ISBN: 0-19-513159-2.
[39] Desai R, Kapral R. Dynamics of Self-Organized and Self-Assembled Structures. Cambridge: Cambridge University Press; 2009. ISBN: 9780521883610.
[40] Estep M. Self-Organizing Natural Intelligence: Issues of Knowing, Meaning, and Complexity. Heidelberg: Springer-Verlag; 2014. ISBN: 978-1-4020-5275-0. doi:10.1007/1-4020-5299-5.
[41] Feistel R, Ebeling W. Physics of Self-Organization and Evolution. Weinheim, Germany: Wiley-VCH Verlag; 2011. ISBN: 978-3-527-40963-1.
[42] Gershenson C. Design and Control of Self-organizing Systems. Mexico City: CopIt ArXives; 2007. ISBN: 0983117233, 9780983117230.
[43] Haken H. Information and Self-Organization A Macroscopic Approach to Complex Systems. Berlin: Springer; 2006. ISBN: 978-3-540-33021-9. doi: 10.1007/3-540-33023-2.
[44] Kravtsov Y, editor. Limits of Predictability. Berlin: Springer; 1993. ISBN: 978-3-642-51010-6. doi:10.1007/978-3-642-51008-3.
[45] Liu J. Autonomous Agents and Multi-Agent Systems: Explorations in Learning, Self-Organization and Adaptive Computation. World Scientific Publishing; 2001. ISBN: 978-981-02-4282-4.
[46] Mishra RK, Maaß D, Zwierlein E, editors. On Self-Organization. An Interdisciplinary Search for a Unifying Principle. Berlin: Springer; 1993. ISBN: 3642457266, 9783642457265.
[47] Nicolis J. Dynamics of Hierarchical Systems An Evolutionary Approach. Berlin: Springer; 1986. ISBN: 978-3-642-69694-7. doi:10.1007/978-3-642-69692-3.
[48] Portugali J. Self-Organization and the City. Berlin: Springer; 2000. ISBN: 978-3-540-65483-4. doi:10.1007/978-3-662-04099-7.
[49] Rozenberg G, Bäck T, Kok J, editors. Handbook of Natural Computing. Springer; 2012. ISBN: 978-3-540-92909-3.
[50] National Aeronautics and Space Administration. NASA Systems Engineering Handbook. Washington, D.C: NASA Headquarters; 2007. ISBN-10:1502975874, 13:978-1502975874.
[51] Sage A, Rouse W. Handbook of Systems Engineering and Management. Hoboken, N.J.: Wiley-Interscience; 2014. ISBN-10:0470083530, 13:978-0470083536.
[52] Pedrycz W, Skowron S, Kreinovich V, editors. Handbook of Granular Computing. Hoboken, NJ: John Wiley & Sons; 2008. ISBN: 0470035544, 9780470035542.
[53] Goldin D, Smolka S, Wegner P, editors. Interactive Computation: The New Paradigm. Springer; 2006. ISBN:354034666X.
[54] Holland JH. Signals and Boundaries Building Blocks for Complex Adaptive Systems. Cambridge, Massachusetts: The MIT Press; 2014. ISBN-10:0262525933, 13:978-0262525930.
[55] Yang A, Shan Y. Intelligent Complex Adaptive Systems. Herehey, PA: IGI Global; 2008. ISBN: 1599047179, 9781599047171.
[56] Dunin-Kęplicz B, Jankowski A, Skowron A, Szczuka M, editors. Monitoring, Security, and Rescue Tasks in Multiagent Systems (MSRAS’2004). Advances in Soft Computing. Heidelberg: Springer; 2005. ISBN: 9786610616985, 3540232451.
[57] Sun R, editor. Cognition and Multi-Agent Interaction. From Cognitive Modeling to Social Simulation. Cambridge University Press; 2006. ISBN: 9780521728959.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).

Typ dokumentu

Bibliografia

Identyfikator YADDA

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