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Knowledge-Driven Computing, 2008 Knowledge Engineering and Intelligent Computations Coll. Studies in Computational Intelligence, Vol. 102

Langue : Français

Coordonnateurs : Cotta Carlos, Reich Simeon, Ligeza Antoni

Couverture de l’ouvrage Knowledge-Driven Computing

The main aim of this volume has been to gather together a selection of recent papers providing new ideas and solutions for a wide spectrum of Knowledge-Driven Computing approaches. More precisely, the ultimate goal has been to collect new knowledge representation, processing and computing paradigms which could be useful to practitioners involved in the area of discussion. To this end, contributions covering both theoretical aspects and practical solutions were preferred.

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.

Presents latest results in Knowledge-Driven Computing

Date de parution :

Ouvrage de 324 p.

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Date de parution :

Ouvrage de 324 p.

15.5x23.5 cm

Sous réserve de disponibilité chez l'éditeur.

Prix indicatif 158,24 €

Ajouter au panier