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Hryniewicz, Kacprzyk, Koronacki, Wierzchoń (eds), Issues_paradigms

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The papers presented in this volume constitute a collection of contri­butions, mainly those of a more theoretical type1, by both well-known experts and young researchers in various fields of broadly perceived in­telligent systems. It may be viewed as a result of fruitful discussions held during the First Warsaw International Seminar on Intelligent Sys­tems (WISIS-04) organized in Warsaw in 2004 by the Systems Research Institute, Polish Academy of Sciences and the Institute of Computer Science, Polish Academy of Sciences, in collaboration with the Warsaw School of Information Technology and endorsed by the Polish Society of Operations and Systems Research (PTBOiS), Polish Neural Network Society (PTSN), EUNITE (European Network on Intelligent Technologies for Smart Adaptive Systems) and EUSFLAT (European Society for Fuzzy Logic and Technology).

First Warsaw International Seminar on Intelligent Systems com­mences a new series of scientific events focused on new trends in founda­tions and applications of intelligent systems broadly understood. [The second, companion volume: Issues in Intelligent Systems: Models and Tech­niques, M. Dramiński, P. Grzegorzewski, ?. Trojanowski and S. Zadrożny (Eds.), EXIT, Warsaw, 2005, is focused on more applied issues]. This Seminar is focused on:

  • representation, elicitation and processing of uncertain, imprecise and incomplete knowledge,
  • advanced data analysis,
  • data mining and knowledge discovery, notably Web mining,
  • machine learning,
  • natural language processing,
  • new computing paradigms (quantum computing, DNA computing, etc.)
  • intelligent decision support and expert systems,
  • neural networks,
  • evolutionary computations,
  • dealing with unstructured text and multimedia data,
  • new paradigms for decision analysis, optimization and control, etc.

and the use of methods and procedures based on AI, probabilistic, sta­tistical, fuzzy, rough and the like approaches is crucial.

We hope that a collection of main contributions presented at the Seminar, completed with many papers by leading experts from all over the world who have not been able to participate, will provide a source of much needed information on recent trends in various domains of broadly perceived intelligent systems.

 

Contents:

Possibilistic Case-based Reasoning for Selecting Partners in Multi-attribute Multi-Agent Negotiations, Brzostowski, R. Kowalczyk

Equivalent Fuzzy Sets, T. Ciąpała, J. Drewniak

Architecture for Graphical Maps of Web Contents, Ciesielski, M. Dramiski, M. A. Kopotek, M. Kujawiak, S. T. Wierzchoń

Equivalent Matrices of Fuzzy Relations, J. Drewniak, B. Pękała

Internal Representations of Multi-layered Perceptrons, W. Duch

Probabilities of Intuitionistic Fuzzy Events, T. Gerstenkorn, J. Mańko

Optical Music Recognition: A Niche of Research and Technology, W. Homenda, M. Luckner

Extrapolation vs. Interpolation in Input-Output Modeling, P. Klęsk

Transferrable Plausibility Model - A Probabilistic Interpretation of Mathematical Theory of Evidence, A. Klopotek

Fuzziness and Object-Oriented Modelling, N. Marin

Case-Based Control Using Fuzzy Representations of Dynamic Processes, W. Moczulski, R. Szulim

Weight Patterns in the Networks Trained to Solve Double Dummy Bridge Problem, K. Mossakowski, J. Mańdziuk

Interval-Valued Linguistic Variables. An Application to

Linguistic Summaries, A. Niewiadomski

Algorithms of Group Decision Making Based on

Generalized IF-Sets, A. Pankowska, M. Wygralak

Unineurons - a New Framework of Logic-Based Fuzzy Neurocomputing, W. Pedrycz

Processing of the Incomplete Representation of the Visual World, A. W. Przybyszewski, T. M. Rutkowski

Human-Centric Agent with Fuzziness for Semantic Web Services, M. Reformat, C. Ly, Y. Chen

Grammar-based Classifier System, O. Unold, Ł. Cielecki

Time Series Forecasting for Dynamic Environments: the DyFor Genetic Program Model, M. Wagner, Z. Michalewicz, M. Khouja, R. R. McGregor

What is the Value of Intelligence?, T. Whalen

Idiotypic Networks as a Metaphor for Immune Algorithms, S. T. Wierzchoń

Immune-based Recommender System, S. T. Wierzchoń

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