Knowledge-Based Intelligent System Advancements: Systemic and Cybernetic Approaches: Systemic and Cybernetic Approaches

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Jozefczyk, Jerzy, Orski, Donat
IGI Global, 31. aug 2010 - 506 pages

The integration of artificial intelligence and knowledge based methods and technologies as well as computer based information systems has created the next generation of information systems ? intelligent information systems. This connection enables these new information systems to demonstrate novel capabilities, in particular: supporting users in decision making, processing data, discovering and processing knowledge, and reasoning under uncertainty.

Knowledge-Based Intelligent System Advancements: Systemic and Cybernetic Approaches presents selected new AI?based ideas and methods for analysis and decision making in intelligent information systems derived using systemic and cybernetic approaches. This book is useful for researchers, practitioners and students interested intelligent information retrieval and processing, machine learning and adaptation, knowledge discovery, applications of fuzzy based methods and neural networks.



Stochastic LearningBased WeakEstimation and its Applications
On Analogue TMR System
Application of TwoStage Adaptive DecisionMaking System Based onTakagiSugeno Modelfor Scenario Selection inRehabilitation Process
Probabilistic TemporalNetwork for Numeric andSymbolic Time Information
Object Recognition via ContourPoints Reconstruction UsingHurwitzRadon Matrices
Fuzzy Logic BasedModeling in the ComplexSystem Fault Diagnosis
Towards Knowledge DrivenIndividual IntegratedIndicators of Innovativeness
Knowledge Exchange inCollaborative Networksof Enterprises
Knowledge RedundancyEnvironmental Shocks andAgents Opportunism
Perspectives of MultivariableFuzzy Control
A Review of Developments
Active Learning in DiscreteTime Stochastic Systems
Hybrid Intelligent DiagnosisApproach Based on NeuralPattern Recognition andFuzzy DecisionMaking
Nonlinear Adaptive ShipControl Synthesis In TheCase Of Model Uncertainty
A KnowledgeBasedApproach for MicrowireCasting Plant Control
Compilation of References

A New MetaHeuristic MultiObjective Approach for OptimalDispatch of Dispersed andRenewable Generating Units inPower Distribution Systems
Output Stream of BindingNeuron with Feedback
Expert Guided AutonomousMobile Robot Learning
Validation of ClusteringTechniques for StudentGrouping in IntelligentElearning Systems
About the Contributors

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About the author (2010)

Jerzy J¢zefczyk graduated in automatic control systems from the Wroclaw University of Technology, in 1980. He received the Ph.D. degree in computer science from the Poznan University of Technology, in 1987, and Dr. Sc. degree in automation and robotics from the Systems Research Institute of the Polish Academy of Sciences, Warsaw, in 1996. Presently, he is a full professor in the Wroclaw University of Technology, and a head of the Department of Intelligent Decision Making Systems. His research interests include operations research, complex control systems, uncertain systems and artificial intelligence which resulted in more than 100 publications. He was a Scientific Secretary of the Committee of Automation and Robotics of the Polish Academy of Sciences in 1988?2006 and a member of this Committee from 1988. He is currently a member of a Board of Directors of the World Organisation of Systems and Cybernetics.

Donat Orski received M.Sc. and Ph.D. degrees in computer science from the Wroclaw University of Technology (WUT), in 1995 and 2000, respectively. Currently, he is an assistant professor in the Department of Intelligent Decision Making Systems in WUT. His research interests include knowledge-based systems, expert systems, uncertain systems, neural networks, learning systems, and their applications to decision making in complex operation systems. He is an author or co-author of more than 30 conference papers, journal articles and book chapters on these topics. [Editor]

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