Intelligent Systems for Knowledge Management

Front Cover
Edward Szczerbicki
Springer Science & Business Media, Sep 30, 2009 - Mathematics - 331 pages
1 Review

New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, systems that can rely on their knowledge and learn from experience - i.e. intelligent systems. One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 13 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.

 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Problems
1
Neural Networks in Model Predictive Control
31
The Decisional DNA
64
IntelligentBased Mobility Models for Data Management in Wireless Sensor Networks
87
Abductive Inference Based Approach to DSS Designing for Project Portfolio Planning
107
CSP Techniques for Solving Combinatorial Queries within Relational Databases
131
Predictive Capabilities of Adaptive and Evolutionary Fuzzy Cognitive Maps A Comparative Study
152
An Architecture for the Semantic Enhancement of Virtual Engineering Applications
175
Effective Backbone Techniques for Ontology Integration
197
Cluster Analysis in Personalized ELearning Systems
228
AgentBased Modelling and Analysis of Air Traffic Organisations
251
Identification of Contact Conditions by Active Force Sensing
275
Modelling UserCentric Pervasive Adaptive Systems The REFLECT Ontology
307
Author Index
330
Copyright

Other editions - View all

Common terms and phrases

Bibliographic information