Knowledge-Driven Computing Knowledge Engineering and Intelligent Computations /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Cotta, Carlos (Επιμελητής έκδοσης), Reich, Simeon (Επιμελητής έκδοσης), Schaefer, Robert (Επιμελητής έκδοσης), Ligęza, Antoni (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Studies in Computational Intelligence, 102
• Θέματα: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Applications of Mathematics.

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...

Πίνακας περιεχομένων:

• 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.