Publications

 

  1. Ambroszkiewicz S., Bartyna W., Mikułowski D., Pilski M., Stępniak M., Kulma P., Ryżko A.: Ontologie i planowanie w elektronicznych procesach biznesowych. Akademicka Oficyna Wydawnicza EXIT, Seria: Informatyka, 2013.

  2. Ambroszkiewicz S., Bartyna W., Ryżko A., Skarżyński K., Stępniak M., Szymczakowski M.: Ontologia w systemie wielorobotowym. W: Postępy robotyki tom I / Tchoń Krzysztof, Zieliński Cezary (red.), Oficyna Wydawnicza PWr, 175-184, 2014.

  3. Bołt W., Batens J.M., De Beats B.: Analysis of stochastic CAs with the use of deterministic rules. In: Teijiro Isokawa et al. (Eds.), Proc. of Automata 2014: 20th Int. Workshop on Cellular Automata and Discrete Complex Systems, University of Hyogo, Himeji, Japan, 2014

  4. Bołt W., Baetens J., De Baets B.: On the decomposition of stochastic cellular automata. Journal of Computational Science, vol. 11, 245-257, 2015.

  5. Chichin S., Baruwal Chhetri M., Bao Vo Q., Kowalczyk R., Stępniak M.: Smart Cloud Marketplace - Agent-based Platform for Trading Cloud Services. In: Proc.of the 2014 IEEE/WIC/ACM Int. Joint Conf. on Web Intellig. and Intellig. Agent Technologies, vol.3, 388-395, 2014.

  6. De Tré G., Dziedzic M., Van Britsomm D., Zadrożny S.: Dealing with Missing Information in Linguistic Summarization: A Bipolar Approach. In: P. Angelov et al. (Eds.) IEEE 2014 Intelligent Systems. vol. 1, 57-68, 2014

  7. Drwal M., Radziszewska W., Ganzha M., Paprzycki M.: Equilibria in Concave Non-cooperative Games and Their Applications in Smart Energy Allocation, Internet and Distributed Computing Systems. In: Proc. of the 7th International Conference on Internet and Distributed Computing Systems, LNCS, Springer, 409-421, 2014. 

  8. Dziedzic M.: Differential evolution in clustering with constraints. In: K.T.Atanassov et al. (Eds.) New Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics, IBS PAN, Warszawa, 45-57, 2012

  9. Dziedzic M.: Clustering based population size reduction method for evolutionary algorithms. Technical Transactions, series: Automatic Control, vol. 1-AC, 81-92, 2012.

  10. Dziedzic M., Kacprzyk J., Zadrożny S.: On some quality criteria of bipolar linguistic summaries, In: Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, Kraków, Poland, 643-646, 2013.

  11. Dziedzic M., Zadrożny S., Kacprzyk J.: Towards bipolar linguistic summaries: a novel fuzzy bipolar query-ing based approach. In: Proceedings of 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), Australia, Brisbane, IEEE Press, (wymienione na Web of Science), 2012

  12. Dziedzic M., Zadrożny S., Kacprzyk J.: Bipolar linguistic summaries: a novel fuzzy querying driven approach, In: Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, Edmonton, Canada, 1279-1284, 2013

  13. Dziedzic M., Zadrożny S., Kacprzyk J.: Contextual bipolarity and its quality criteria in bipolar linguistic summaries. Technical Transactions, series Automatic Control, vol. 4-AC, 117-127, 2014.

  14. Dziedzic M., Billiet Ch., Kacprzyk J., Zadrożny S., De Tré G.: Inner and outer bipolarity in data-base querying. In: Proceedings of the 2014 NAFIPS Conference, IEEE, 1-8, 2014.

  15. Falkiewicz D., Hołda M.: Changing attitude patterns in group decision making process – a socio-technological approach. Technical Transactions, series: Automatic Control, vol. 1-AC, 29-39, 2012.

  16. Falkiewicz D., Kacprzyk J.: Different Aspects of Supporting Group Consensus Reaching Process Under Fuzzines. Technical Transactions, series: Automatic Control, vol. 1-AC, 17-27, 2012.

  17. Falkiewicz D., Łukasik Sz.: Modelowanie rozmyte z zastosowaniem algorytmu optymalizacji rojem cząstek. Technical Transactions, series: Automatic Control, vol. 1-AC, 41-54, 2012.

  18. Gąsior J., Seredyński F.: Load Balancing in Cloud Computing Systems Through Formation of Coalitions in a Spatially Generalized Prisoner’s Dilemma Game. In: Proceedings of the Third International Conference on Cloud Computing, GRIDs, and Virtualization, 2012

  19. Gąsior J., Seredyński F.: Load Balancing in the Cloud Through Formation of Coalitions in the Spatial Prisoner's Dilemma Game, International Transactions on Systems Science and Applications. Special Issue on Cloud Computing and Services, vol. 8, 41-55, 2012.

  20. Gąsior J., Seredyński F.: Multi-Objective Security Driven Job Scheduling for Computational Cloud Systems. In: Proc. Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), IEEE, 582-587, 2013.

  21. Gąsior J., Seredyński F.: A Decentralized Multi-agent Approach to Job Scheduling in Cloud Environment. IEEE Conf. on Intelligent Systems (1) 2014: 403-414

  22. Gąsior J., Seredyński F.: Multi-Objective Parallel Machines Scheduling for Fault-Tolerant Cloud Systems. Lecture Notes in Computer Science, vol. 8285, 247-256, 2013.

  23. Gąsior J., Seredyński F.: A Game-Theoretic Approach to Multi-Objective Agent-Based Parallel Job Scheduling Problem in Cloud Computing Systems. In: 2014 IEEE International Parallel & Distributed Processing Symposium Workshops (IPDPSW), 19-23 May 2014, Phoenix, AZ, 470 - 479, IEEE, 2014.

  24. Gąsior J., Seredyński F.: Dynamic job scheduling in the cloud using slowdown optimization and sandpile cellular automata model. In: Proc. of the 2015 Parallel & Distributed Processing Symposium Workshops (IPDPSW), accepted.

  25. Gołuńska D., Hołda M.: The need of fairness in the group consensus reaching process in a fuzzy environment, Technical Transactions, seria Automatic Control , vol. 1-AC, 2013, 29-38, 2013.

  26. Gołuńska D., Kacprzyk J., Gorgoń A.: A computational support for the group consensus reaching process in the fuzzy environment, In: Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, Kraków, Poland, 651-654, 2013.

  27. Gołuńska D., Kacprzyk J.: The Conceptual Framework of Fairness in Consensus Reaching Process Under Fuzziness, In: Proceedings of the 2013 Joint IFSA World Congress NAFIPS Annual Meeting, Edmonton, Canada, 1285-1290, 2013.

  28. Gołuńska D., Kacprzyk J.: Cost of reaching the consensus in a group of agents based on a psychology of opinion change. In: Proceedings of 6th Győr Symposium and 3rd Hungarian-Polish and 1st Hungarian-Romanian Joint Conference, 1-6, 2014.

  29. Gołuńska D., Kacprzyk J., Herrera-Viedma E.: Modeling Different Advising Attitudes in a Consensus Focused Process of Group Decision Making. In: P. Angelov et al. (Eds.) IEEE 2014 Intelligent Systems, Springer, vol.1, 279-288, 2014.

  30. Gołuńska D., Kacprzyk J., Zadrożny S.: A new model of efficiency-oriented group decision and consensus reaching support in a fuzzy environment. In: Proceedings of IPMU 2014, Springer, Part II, 424-433, 2014.

  31. Gołuńska D., Kacprzyk J., Zadrożny S.: A consensus reaching support system based on concepts of ideal and anti-ideal point. In: Proc. of the IEEE 2014 Conference on Norbert Wiener in the 21st Century, NAFIPS Annual Meeting, IEEE, CD, 2014.

  32. Homenda W., Jastrzębska A.: Similarities in Structured Spaces of Sets. In: Proc. of the IEEE World Congress on Computational Intelligence (IEEE WCCI 2014), 1697-1704, 2014.

  33. Homenda W., Jastrzębska A., Pedrycz W.: Fuzzy Cognitive Map Reconstruction. Methodologies and Experiments. In: Proc. of the 6th International Conference on Agents and Artificial Intelligence, 499-510, 2014.

  34. Homenda W., Jastrzębska A., Pedrycz W.:Granular Cognitive Map Reconstruction: Adjusting Granularity Parameters. In: Proceedings of the 16th International Conference on Enterprise Information Systems, 175-184., 2014.

  35. Homenda W., Jastrzębska A., Pedrycz W.: Granular Cognitive Maps Reconstruction. In: Proc. of the IEEE World Congress on Computational Intelligence (IEEE WCCI 2014), 2055-2062, 2014.

  36. Homenda W., Jastrzębska A., Pedrycz W.: Modeling Time Series with Fuzzy Cognitive Maps. In: Proc. of the IEEE World Congress on Computational Intelligence (IEEE WCCI 2014), 2572-2579, 2014.

  37. Horabik J.: Spatial disaggregation of air pollution data with conditional autoregressive model, W: A. Myśliński (Red.) Techniki informacyjne. Teoria i zastosowania. Wybrane problemy, IBS PAN, Warszawa, 39-53, 2013.

  38. Horabik J., Nahorski Z.: Improving resolution of spatial inventory with a statistical inference approach, Climatic Change, vol. 124, 3, 575–589, 2014, DOI: 10.1007/s10584-013-1029-4

  39. Horabik J., Nahorski Z.: The Cramér-Rao lower bound for the estimated parameters in a spatial disaggregation model for areal data. In: D. Filev et al. (Eds.) IEEE 2014 Intelligent Systemsvol. 2, pp. 661-668

  40. Hryniewicz O., Kaczmarek K.: Bayesian analysis of time series using granular computing approach. Applied Soft Computing, vol. 47. 2016, 644–652, DOI: 10.1016/j.asoc.2014.11.024, 2014.

  41. Hryniewicz O., Kaczmarek K.: Forecasting short time series with the Bayesian autoregression and the soft computing prior information. In:P.Grzegorzewski et al.(Eds.):Strengthening Links Between Data Analysis and Soft Computing, Springer, 79–86, 2014.

  42. Hryniewicz O., Nahorski Z., Verstraete J., Horabik J., Jonas M.: Compliance for uncertain inventories via probabilistic/fuzzy comparison of alternatives. Climatic Change, vol. 124,  3, 519-534, 2014. 

  43. Jastrzębska A.: Similarity of Exclusions in the Concept Space. In: Proceedings of KICSS'2013, 245-256, 2013.

  44. Jones A.V., Lomuscio A., Knapik M., Penczek W.: Parametric Computation Tree Logic with Knowledge. In: Szczuka et al. (eds.): Proc. of Concurrency, Specification and Programming, September 28-30, Pułtusk, Poland, 286-300, 2011

  45. Jones A.V., Knapik M., Penczek W., Lomuscio A.: Group synthesis for parametric temporal-epistemic logic. In: Proceedings of 11th International Conference on Autonomous and Multiagent Systems (AAMAS), http://www.aamasconference.org/Proceedings/aamas2012/resources/fullpapers.html, 2012

  46. Jones A.V., Knapik M., Lomuscio A., Penczek W.: Group Synthesis for Alternating-Time Temporal Logic, Imperial College London Technical Reports, http://www.doc.ic.ac.uk/research/technicalreports/2013/#9, 2013.

  47. Kacprzyk J., Zadrożny S., Dziedzic M.: A Novel View of Bipolarity in Linguistic Data Summaries, In: L.Koczy et al. (Eds.) Issues and Challenges of Intelligent Systems and Computational Intelligence, series: Studies in Computational Intelligence, Springer International Publishing, 215-229, 2014.

  48. Kaczmarek K., Hryniewicz O.: Linguistic knowledge about temporal data in Bayesian linear regression model to support forecasting of time series, In: Proceedings of Federated Conference on Computer Science and Information Systems, Kraków, Poland, 651–654, 2013.

  49. Kaczmarek K., Hryniewicz O., Kruse R.: Human Input about Linguistic Summaries in Time Series Forecasting. In: Proc. of The Eighth International Conference on Advances in Computer-Human Interactions ACHI 2015, 9-13, 2015.

  50. Knapik M., Niewiadomski A., Penczek W., Pólrola A., Szreter M., Zbrzezny A.: Parametric Model Checking with VerICS. Lecture Notes in Computer Science, vol. 6550, 98-120, 2010

  51. Knapik M., Penczek W.: SMT-based parameter synthesis for L/U automata. In: Proc. of the Int. Workshop on Petri Nets and Software Engineering (PNSE), http://www.ceur-ws.org/Vol-851/, 2012

  52. Knapik M., Penczek W.: Bounded Model Checking for Parametric Timed Automata. Lecture Notes in Computer Science (T. Petri Nets and Other Models of Concurrency V), 141-159, 2012

  53. Knapik M., Penczek W.: Parameter Synthesis for Timed Kripke Structures, In: Proc. of the 22nd International Workshop on Concurrency, Specification and Programming, Warsaw 2013, 259-270, http://ceur-ws.org/Vol-1032, 2013.

  54. Knapik M., Penczek W.: Parameter Synthesis for Timed Kripke Structures. Fundamenta Informaticae, vol. 133, no. 2-3, 211-226, 2014

  55. Knapik M., Penczek W.: Fixed-Point Methods in Parametric Model Checking. In: P. Angelov et al. (Eds.) IEEE 2014 Intelligent Systems, Springer, vol. 1, 231-242, 2014.

  56. Knapik M., Szreter M., Penczek W.: Bounded Parametric Model Checking for Elementary Net Systems. Lecture Notes in Computer Science, vol.6550, 42-71, 2010

  57. Knapik M., Meski A., Penczek W.: Action Synthesis for Branching Time Logic: Theory and Applications. ACM Transactions on Embedded Computing Systems, to appear.

  58.  Lesiv M., Bun A., Jonas M.: Analysis of change in relative uncertainty in GHG emissions from stationary sources for the EU 15. Climatic Change, vol. 124, No. 3, 505-518, 2014.

  59. Nahorski Z., Radziszewska W.: Price formation strategies of programmable agents in continuous double auctions. In: M. Busłowicz, K. Malinowski (Eds.) Advances in Control Theory and Automation, Komitet Automatyki PAN, Oficyna Wyd. Politechniki Białostockiej, 181-194, 2012

  60. Nahorski Z., Radziszewska W., Parol M., Pałka P.: Inteligentne systemy bilansowania mocy w mikrosieciach elektroenergetycznych. Rynek energii, Nr 1 (98), 2012, 59-66, 2012

  61. Ostrycharz M.: Gradacyjne metody analizy danych na przykładzie badania solidności klientów banku. W: Hołubiec J. (red.): Techniki informacyjne: teoria i zastosowania. Wybrane problemy, Tom 1, IBS PAN, Warszawa, 101-117, 2011

  62. Ostrycharz M., Grzegorzewski P.: Feature selection based on the AIC helpfulness criterion. In: K.T.Atanassov et al. (Eds.) New Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics, IBS PAN, Warszawa, 129-141, 2012

  63. Pałka P., Radziszewska W., Nahorski Z.: Application of an auction algorithm in an agent-based power balancing system. In: M. Pechenizkiy, M. Wojciechowski (Eds.) New Trends in Database and Information Systems, Advances in Intelligent Systems and Computing, vol. 185, Springer, 2013, 231-240.

  64. Pałka P., Radziszewska W., Nahorski Z.: Balancing electric power in a microgrid via programmable agents auctions. Control and Cybernetics, vol. 41(4), 777-797, 2012.

  65. Pedrycz W. Jastrzębska A., Homenda W.: Design of Fuzzy Cognitive Maps for Modeling Time Series. IEEE Transactions on Fuzzy Systems, vol. 24, no. 1, 120-130, 2016.

  66. Pilecki J., Bednarczyk M.A., Jamroga W.: Model Checking Properties of Multi-agent Systems with Imperfect Information and Imperfect Recall. In: P. Angelov et al. (Eds.) IEEE 2014 Intelligent Systems, vol. 1, Springer, 415-426, 2014.

  67. Pilecki J., Bednarczyk M.A., Jamroga W.: Synthesis and Verification of Uniform Strategies for Multi-Agent System. In: N. Bulling et al. (Eds.): Computational Logic in Multi-Agent Systems XV, vol. 8624 LNAI, Springer-Verlag Berlin Heidelberg, 166-182, 2014.

  68. Radziszewska W., Kowalczyk R., Nahorski Z.: El Farol Bar problem, Potluck problem and electric energy balancing – on the importance of communication. In: Proc. of the 2014 Federated Conference on Computer Science and Information Systems, 1515– 1523, 2014. 

  69. Radziszewska W., Nahorski Z.: Generation of inputs to renewable energy sources using matched-block bootstrap approach with fitness proportionate selection, In: Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental, 727-735, 2013.

  70. Radziszewska W., Nahorski Z.: Simulation of energy consumption in a microgrid for demand side management by scheduling, In: Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, Kraków, Poland, 679–682, 2013.

  71. Radziszewska W., Nahorski Z.: Modeling of power consumption in a small microgrid. In: J.M. Gómez et al. (Eds.): Information and Communication Technology for Energy Efficiency, 381-388, 2014.

  72. Radziszewska W., Nahorski Z., Parol M., Pałka P.: Intelligent computations in an agent-based prosumer-type electric microgrid control system. In: L.Koczy et al. (Eds.) Issues and Challenges of Intelligent Systems and Computational Intelligence, series: Studies in Computational Intelligence, Springer International Publishing, 293-312, 2014.

  73. Rybnik M., Homenda W., Sitarek T.: Advanced Searching in Spaces of Music Information, Lecture Notes in Artificial Intelligence , vol. 7661, 218–227, 2012.

  74. Sitarek T., Homenda W.: Efficient Processing the Braille Music Notation. Lecture Notes in Computer Science (LNAI), vol. 7564, 338-350, 2012

  75. Sitarek T., Homenda W.: Generic Operations in the Structured Space of the Music, Lecture Notes in Computer Science vol. 7654, 338-350, 2012.

  76. Sydow M., Ciesielski K., Wajda J.: Introducing Diversity to Log-based Query Suggestions to Deal with Underspecified User Queries. Lecture Notes in Computer Science, vol. 7053, 251-264, 2012

  77. Szymczak M., Bronselaer A., Zadrożny S., De Tre G.: Dynamical construction of binary relations in coreference detection. In Proceedings of 31st Annual NAFIPS Meeting (North American Fuzzy Information Processing Society), Berkeley, USA, 2012

  78. Szymczak M., Bronselaer A., Zadrożny S., De Tre G.: Semantical Mapping of Attribute Values for Data Integration. In: Proc. of the IEEE 2014 Conference on Norbert Wiener in the 21st Century, NAFIPS Annual Meeting, IEEE, CD, 2014.

  79. Szymczak M., Bronselaer A., Zadrożny S., De Tre G.: Selection of Semantical Mapping of Attribute Values for Data Integration. In: P. Angelov et al. (Eds.) IEEE 2014 Intelligent Systems, vol. 1, Springer, 581-592, 2014.

  80. Szymczak M., Koepke J.: Matching methods for semantic annotation-based XML document transformations. In: K.T.Atanassov et al. (Eds.) New Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Vol II: Applications, IBS PAN, Warszawa, 297-308, 2012

  81. Szymczak M., Zadrożny S., De Tré G.: Coreference detection in XML metadata, In: W. Pedrycz & M. Reformat (Eds.), Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, 1354–1359, 2013.

  82. Szymczak M., Zadrożny S., Bronselaer A., De Tré G.: Coreference detection in an XML schema. Information Sciences, vol. 296, 237–262, 2015.

  83. Świechowski M., Mańdziuk J.: Generic Heuristic Approach to General Game Playing. Lecture Notes in Computer Science, vol. 7147, 649-660, 2012

  84. Świechowski M., Mańdziuk J.: Self-Adaptation of Playing Strategies in General Game Playing, IEEE Transactions on Computational Intelligence and AI in Games , przyjęte do druku, doi: 10.1109/TCIAIG.2013.2275163

  85. Świechowski M., Mańdziuk J.: Fast Interpreter for Logical Reasoning in General Game Playing. Oxford Journal of Logic and Computation, doi: 10.1093/logcom/exu058, 2014.

  86. Świechowski M., Mańdziuk J.: Specialized vs. Multi-game Approaches to AI in Games. In: P. Angelov et al. (Eds.) IEEE 2014 Intelligent Systems, vol. 1, Springer, 243-254, 2014.

  87. Świechowski M., Mańdziuk J.: Prolog versus Specialized Logic Inference Engine in General Game Playing. In: Proc. of the 2014 IEEE Conference on Computational Intelligence and Games (CIG), IEEE, 36-43, 2014.

  88. Świechowski M., Mańdziuk J., Soon Ong Y.: Specialization of a UCT-based General Game Playing Program to Single-Player Games. IEEE Transactions on Computational Intelligence and Artificial Intelligence in Games, doi: 10.1109/TCIAIG.2015.2391232.

  89. Świechowski M., Merrick K.E., Mańdziuk J., Abbass H.A.: Human-Machine Cooperation in General Game Playing. In: Proc. of the 8th International Conference on Advances in Computer-Human Interactions, 96-100, 2015. 

  90. Świechowski M., Merrick K.E., Mańdziuk J., Abbass H.A.: Human-Machine Cooperation Loop in Game Playing. International Journal on Advances in Intelligent Systems, vol. 8, no. 3 and 4, 310-323, 2015/12

  91. Xu X., Horabik J., Nahorski Z.: Pricing of uncertain Certified Emission Reductions in a Chinese Coal Mine Methane Project with an extended Rubinstein-Stahl model, Climatic Change, 124(3):617-632, 2014.

  92. Zadrożny S., Kacprzyk J., Dziedzic M., De Tré G.: Contextual Bipolar Queries, In: M. Jamshidi et al. (Eds.): Advance Trends in Soft Computing WCSC 2013, Springer, 421-428, 2014.

  93. Zadrożny S., Kacprzyk J., Dziedzic M.: Contextual bipolar queries: "or if impossible" operator case. In: J. M. Alonso, H. Bustince, M. Reformat (Eds.): Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT 2015), Atlantis Press, 2015, pp. 1266-1273.

  94. Zadrożny S., Kacprzyk J., Dziedzic M.: On a New Type of Contextual Queries and Linguistic Summaries of a Bipolar Type, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Istanbul, Turkey, August 2-5, 2015.

 

 

 

 

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