Knowledge-Driven Computing Knowledge Engineering and Intelligent Computations /

Knowledge-Driven Computing constitutes an emerging area of intensive research located at the intersection of Computational Intelligence and Knowledge Engineering with strong mathematical foundations. It embraces methods and approaches coming from diverse computational paradigms, such as evolutionary...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Cotta, Carlos (Editor ), Reich, Simeon (Editor ), Ligeza, Antoni (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Computational Intelligence, 102
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Mathematics.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Applications of Mathematics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Temporal Specifications with FuXTUS. A Hierarchical Fuzzy Approach
  • Bond Rating with ? Grammatical Evolution
  • Handling the Dynamics of Norms - A Knowledge-Based Approach
  • Experiments with Grammatical Evolution in Java
  • Processing and Querying Description Logic Ontologies Using Cartographic Approach
  • Rough Sets Theory for Multi-Objective Optimization Problems
  • How to Acquire and Structuralize Knowledge for Medical Rule-Based Systems?
  • On Use of Unstable Behavior of a Dynamical System Generated by Phenotypic Evolution
  • Temporal Specifications with XTUS. A Hierarchical Algebraic Approach
  • A Parallel Deduction for Description Logics with ALC Language
  • Applications of Genetic Algorithms in Realistic Wind Field Simulations
  • Methodologies and Technologies for Rule-Based Systems Design and Implementation. Towards Hybrid Knowledge Engineering
  • XML Schema Mappings Using Schema Constraints and Skolem Functions
  • Outline of Modification Systems
  • Software Metrics Mining to Predict the Performance of Estimation of Distribution Algorithms in Test Data Generation
  • Design and Analysis of Rule-based Systems with Adder Designer
  • A Query-Driven Exploration of Discovered Association Rules
  • A Universal Tool for Multirobot System Simulation
  • Advancing Dense Stereo Correspondence with the Infection Algorithm.

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