Paramètres
- 487pages
- 18 heures de lecture
En savoir plus sur le livre
These papers are grouped into five coherent sections. The first section sets the basis for the rest of the book by addressing fundamental issues. The second section is devoted to specialized computer environments that make Modelling and Simulation easier to perform correctly, while the third section reflects the impact of rule-based methodologies (originated in the AI field) on the world of Modelling and Simulation. Section Four stands in a class of its own as it is based on a novel methodology that in itself is modelled on a biological process, providing promising inroads into the world of adaptive and self-learning methods. The last section describes various applications of the principles to generalised problems of modelling and design.
Achat du livre
Modelling and Simulation Methodology, Maurice S. Elzas, Tuncer I. Ören, Bernard P. Zeigler
- Langue
- Année de publication
- 1989
- product-detail.submit-box.info.binding
- (rigide),
- État du livre
- Bon
- Prix
- 20,49 €
Modes de paiement
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- Titre
- Modelling and Simulation Methodology
- Sous-titre
- Knowledge Systems Paradigms
- Langue
- Anglais
- Éditeur
- North-Holland
- Publié
- 1989
- Format
- rigide
- Pages
- 487
- ISBN10
- 0444880445
- ISBN13
- 9780444880444
- Séries
- Mots clés
- Nonfiction, Technologie & Ingénierie, Informatique & Internet, Europe de l'Ouest, Intelligence Artificielle
- Description
- These papers are grouped into five coherent sections. The first section sets the basis for the rest of the book by addressing fundamental issues. The second section is devoted to specialized computer environments that make Modelling and Simulation easier to perform correctly, while the third section reflects the impact of rule-based methodologies (originated in the AI field) on the world of Modelling and Simulation. Section Four stands in a class of its own as it is based on a novel methodology that in itself is modelled on a biological process, providing promising inroads into the world of adaptive and self-learning methods. The last section describes various applications of the principles to generalised problems of modelling and design.


